وظائف ميكانيكى سفن

The Cash Van Fleet & Logistics Officer is responsible for coordinating and overseeing the administrative, logistical, and fleet-related activities of the central and outstation cash vans. The role ensures vehicle availability, proper maintenance, regulatory compliance, safety, cost control, and effective coordination with drivers, suppliers, garages, government authorities, and internal departments. <br> <br>Responsibilities: <br>• Coordinate and follow up on routine and preventive vehicle maintenance, including oil changes, tires, mechanical repairs, washing, and other servicing requirements <br>• Conduct regular physical inspections and spot checks to ensure vehicles are maintained in good operating condition <br>• Coordinate vehicle handovers and manage the availability and allocation of spare/replacement vans during servicing or breakdowns <br>• Monitor vehicle locations via GPS tracking and track weekly mileage (KM) to control overall fuel consumption <br>• Coordinate body insulation updates (e.g., temperature-controlled modifications with vendors like Halawani) and direct any specialized technical modifications <br>• Ensure timely renewal of all vehicle registrations, commercial transport licenses, mechanic certificates, permits, and other required documentation <br>• Ensure timely renewal of all vehicle registrations, commercial transport licenses, mechanic certificates, permits, and other required documentation <br>• Coordinate and follow up on payments and procedures with the Vehicle Registration Department and other relevant authorities <br>• Maintain an up-to-date tracker of all vehicle licenses, permits, insurance policies, and expiry dates <br>• Coordinate with the Insurance responsible person regarding annual vehicle insurance renewals and ensure valid insurance documents are available in each vehicle <br>• Monitor and follow up on traffic violations, fines, and related administrative procedures until cleared. <br>• Conduct regular spot checks on central and outstation vans to verify vehicle condition, documentation, fire extinguishers, first-aid kits, and other required safety equipment <br>• Ensure that any compliance or safety deficiencies identified during inspections are properly followed up and resolved <br>• Source and obtain quotations from approved garages, tire suppliers, vehicle suppliers, and other fleet-related vendors <br>• Compare quotations and provide recommendations based on cost, quality, service, and lead time <br>• Negotiate with suppliers, within the authorized limits, to obtain competitive pricing and favorable terms <br>• Coordinate vehicle repairs, maintenance, modifications, and other services with external suppliers <br>• Monitor supplier performance and escalate recurring service or quality issues <br>• Maintain proper records of quotations, approvals, purchase orders, invoices, and supplier-related documentation <br>• Coordinate vehicle branding and rebranding requirements with Marketing and approved advertising agencies <br>• Coordinate required permits and administrative procedures with the Vehicle Registration Department <br>• Follow up on vehicle delivery, installation, inspection, and completion of branding works <br>• Ensure that branding and vehicle modifications comply with applicable legal and Company requirements <br>• Ensure timely and accurate recording of vehicle maintenance, fuel consumption, mileage, invoices, repairs, and other fleet-related information in VFM <br>• Maintain accurate and up-to-date fleet records for all central and outstation vans <br>• Prepare monthly fleet reports covering maintenance costs, fuel consumption, mileage, vehicle availability, downtime, and other relevant KPIs <br>• Analyse fleet data and highlight unusual costs, excessive fuel consumption, repeated breakdowns, or other areas requiring attention <br>• Provide the Finance and Accounting teams with the required fleet-related information and supporting documentation <br>• Conduct regular field visits and spot checks of central and outstation cash vans <br>• Verify compliance with fleet, safety, documentation, and operational requirements <br>• Document findings and ensure corrective actions are followed up and closed <br>• Investigate and document fleet-related incidents, including accidents, theft/loss of goods, major breakdowns, or other unusual occurrences <br>• Coordinate with relevant internal departments, insurance providers, garages, and external authorities following accidents or major incidents <br>• Maintain proper records of incidents and follow up on required corrective or preventive actions <br>  <br>Qualifications: <br>• Bachelor degree or Professional Certification in related fields <br>• 3 to 5 years of related experience <br>• Experience with fleet management/GPS systems is an advantage <br>• Good knowledge of basic automotive mechanics, vehicle maintenance and spare parts <br>• Strong organizational, coordination, and follow-up skills <br>• Good negotiation and supplier management skills <br>• Strong problem-solving and decision-making abilities <br>• Excellent attention to detail a

# Office Manager <br> <br>Location: Lebanon (on site) <br>Reports to: General Manager <br>Department: Administration <br>Industry: FMCG (import and distribution) <br> <br>--- <br> <br>## About the Company <br> <br>A well established Lebanese FMCG company with more than 35 years in the market. The company imports fast moving consumer goods from international principals and distributes them across Lebanon through a wide retail, wholesale and modern trade network. Company name is disclosed to shortlisted candidates. <br> <br>--- <br> <br>## Purpose of the Role <br> <br>This role keeps the company running day to day. It covers the office itself, but the larger part of the job is making sure the different parts of the business move together: warehouse, fleet, sales support, administration and the outside providers the company depends on. The person in this seat is the one management turns to when something needs to be organised, chased, fixed or coordinated across departments, and the one department heads coordinate through when a request touches more than one team. <br> <br>It suits someone who is organised, hands on, and comfortable being responsible for outcomes that depend on other people delivering. <br> <br>--- <br> <br>## Key Responsibilities <br> <br>### Office and Administration <br>- Run the daily operation of the office and make sure it is properly staffed, supplied and functioning. <br>- Supervise administrative staff, receptionists, drivers, messengers and cleaning staff, including scheduling, attendance and daily task assignment. <br>- Manage office supplies, equipment, furniture and stationery, from requisition through purchase, receipt and distribution. <br>- Maintain company files, records and archives, both physical and digital, with a structure people can actually find things in. <br>- Organise meetings, visits and travel arrangements for management and visiting principals, including hotels, transport and itineraries. <br>- Handle incoming correspondence, courier, calls and visitor flow. <br> <br>### Day to Day Coordination Across Departments <br>- Act as the coordination point between Sales, Warehouse, Procurement, Finance and Administration so that requests do not sit unanswered. <br>- Follow up daily on open items across the business and escalate anything that is stuck to the General Manager with a proposed solution, not just a problem. <br>- Prepare and circulate daily and weekly status reports on the areas under this role. <br>- Support management in preparing information for meetings, reviews and decisions. <br>- Take on assignments and projects delegated by the General Manager and carry them to completion. <br> <br>### Warehouse, Delivery and Fleet Support <br>- Coordinate with the warehouse on receiving schedules, delivery planning and dispatch, so that shipments and orders move on time. <br>- Monitor delivery performance, route coverage and customer delivery complaints, and follow up until each case is closed. <br>- Manage the company vehicle fleet: registration, insurance, mechanic, licences, fuel, maintenance schedules, repairs and vehicle records. <br>- Track driver assignments, licences and vehicle handovers. <br>- Coordinate with third party transporters and service providers where used. <br> <br>### Facilities, Utilities and Assets <br>- Manage premises: office, warehouse and any branch location. Maintenance, cleaning, security, generator, electricity, water, internet and telephone. <br>- Handle contracts and relationships with landlords, maintenance contractors, security companies, insurance providers, telecom and utility providers. <br>- Maintain the company asset register and follow the condition, location and custody of each asset. <br>- Oversee health, safety and general workplace conditions, including firefighting equipment, emergency exits and first aid supplies. <br> <br>### Purchasing of Non Trade Items and Cost Control <br>- Handle purchasing of general services and non trade items: office needs, maintenance, printing, promotional and marketing material, and similar. <br>- Collect quotations, compare, and recommend the supplier before committing. <br>- Monitor spending against budget for office, facilities, fleet and general administration, and report variances. <br>- Review supplier invoices for accuracy before submitting them to Finance for payment. <br>- Identify and act on savings without letting service quality drop. <br> <br>### Process, Policy and Systems <br>- Document and improve internal administrative procedures, forms and workflows so the same task is done the same way each time. <br>- Enforce company policies and the approval matrix across the areas under this role. <br>- Make sure transactions and records go through the company system properly rather than staying on someone's desk. <br>- Support internal and external audit requests related to administration, assets and general expenses. <br> <br>### People and Government Related Support <br>- Support HR with attendance records, leave tracking, staff files, onboarding logistics and new joiner setup. <br>- Follow up on official and government related paperwork with the relevant authorities and the company's

<p>Aspire Software is looking for a AI Developer to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p><p>About the job: This role sits at the center of that buildout. You ll ship near-term product features while helping us make the right architectural decisions for what s coming. We need someone who can execute and see around corners someone who understands both the product experience and the platform mechanics underneath it.</p><p>Key Responsibilities</p><ul><li>Build and ship AI features using our PHP/MySQL/React/Node stack with OpenAI API integration.</li><li>Extend Astro Core chatbot capabilities new read/write actions, graph generation, analysis outputs.</li><li>Help improve the external MCP connector schema, authentication, capability surface.</li><li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li><li>Build the token metering and usage tracking layer per-feature, per-customer, per-tier.</li><li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li><li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li><li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li><li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li></ul><p>AI Product Development</p><ul><li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li><li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li><li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li><li>Experience building quality evaluation and output validation frameworks around AI features.</li><li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li></ul><p>Platform &amp; Architecture Thinking</p><ul><li>Experience designing or contributing to metered usage systems API rate limiting, consumption tracking, billing integration.</li><li>Familiarity with designing MCP (Model Context Protocol) understanding of how LLM-native integrations differ from traditional REST.</li><li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li><li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li></ul><p>Core Stack</p><ul><li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li><li>Solid PHP development experience comfortable extending a production codebase, not just greenfield.</li><li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li><li>Typescript: used on the backend of the MCP layer</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in computer science, Information Systems, Engineering or a related field.</li><li>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</li><li>Strong understanding of Artificial Intelligence, Machine Learning, Generative AI, and automation concepts.</li><li>Strong presentation, communication, and stakeholder management skills.</li><li>Experience working directly with customers and senior business stakeholders.</li><li>Excellent problem-solving and analytical skills.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p><p>This role sits at the center of that buildout. You'll ship near-term product features while helping us make the right architectural decisions for what's coming. We need someone who can execute and see around corners someone who understands both the product experience and the platform mechanics underneath it.</p><p>Key Responsibilities</p><ul><li>Build and ship AI features within the Ad Orbit product using our PHP/MySQL/React/Node stack with OpenAI API integration.</li><li>Extend Astro Core chatbot capabilities new read/write actions, graph generation, analysis outputs.</li><li>Help improve the external MCP connector schema, authentication, capability surface.</li><li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li><li>Build the token metering and usage tracking layer per-feature, per-customer, per-tier.</li><li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li><li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li><li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li><li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li></ul><p>AI Product Development</p><ul><li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li><li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li><li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li><li>Experience building quality evaluation and output validation frameworks around AI features.</li><li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li></ul><p>Platform &amp; Architecture Thinking</p><ul><li>Experience designing or contributing to metered usage systems API rate limiting, consumption tracking, billing integration.</li><li>Familiarity with designing MCP (Model Context Protocol) understanding of how LLM-native integrations differ from traditional REST.</li><li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li><li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li></ul><p>Core Stack</p><ul><li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li><li>Solid PHP development experience comfortable extending a production codebase, not just greenfield.</li><li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li><li>Typescript: used on the backend of the MCP layer</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in computer science, Information Systems, Engineering or a related field.</li><li>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</li><li>Strong understanding of Artificial Intelligence, Machine Learning, Generative AI, and automation concepts.</li><li>Strong presentation, communication, and stakeholder management skills.</li><li>Experience working directly with customers and senior business stakeholders.</li><li>Excellent problem-solving and analytical skills.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a AI Developer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: This role sits at the center of that buildout.<br> You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming.<br> We need someone who can execute and see around corners someone who understands both the product experience and the platform mechanics underneath it.<br> Key Responsibilities Build and ship AI features using our PHP/MySQL/React/Node stack with OpenAI API integration.<br> Extend Astro Core chatbot capabilities new read/write actions, graph generation, analysis outputs.<br> Help improve the external MCP connector schema, authentication, capability surface.<br> Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.<br> Build the token metering and usage tracking layer per-feature, per-customer, per-tier.<br> Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.<br> Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.<br> Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.<br> Stay current on the AI tooling landscape and bring concrete recommendations to the team.<br> AI Product Development Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.<br> Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.<br> Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.<br> Experience building quality evaluation and output validation frameworks around AI features.<br> Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.<br> Platform &amp; Architecture Thinking Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.<br> Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.<br> Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.<br> Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.<br> Core Stack React and Node: able to build frontend components that surface AI features, including data visualizations.<br> Solid PHP development experience — comfortable extending a production codebase, not just greenfield.<br> MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.<br> Typescript: used on the backend of the MCP layerBachelor’s degree in computer science, Information Systems, Engineering or a related field.<br> 3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.<br> Strong understanding of Artificial Intelligence, Machine Learning, Generative AI, and automation concepts.<br> Strong presentation, communication, and stakeholder management skills.<br> Experience working directly with customers and senior business stakeholders.<br> Excellent problem-solving and analytical skills.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a AI Developer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: This role sits at the center of that buildout.<br> You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming.<br> We need someone who can execute and see around corners someone who understands both the product experience and the platform mechanics underneath it.<br> Key Responsibilities Build and ship AI features within the Ad Orbit product using our PHP/MySQL/React/Node stack with OpenAI API integration.<br> Extend Astro Core chatbot capabilities new read/write actions, graph generation, analysis outputs.<br> Help improve the external MCP connector schema, authentication, capability surface.<br> Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.<br> Build the token metering and usage tracking layer per-feature, per-customer, per-tier.<br> Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.<br> Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.<br> Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.<br> Stay current on the AI tooling landscape and bring concrete recommendations to the team.<br> AI Product Development Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.<br> Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.<br> Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.<br> Experience building quality evaluation and output validation frameworks around AI features.<br> Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.<br> Platform &amp; Architecture Thinking Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.<br> Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.<br> Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.<br> Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.<br> Core Stack React and Node: able to build frontend components that surface AI features, including data visualizations.<br> Solid PHP development experience — comfortable extending a production codebase, not just greenfield.<br> MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.<br> Typescript: used on the backend of the MCP layerBachelor’s degree in computer science, Information Systems, Engineering or a related field.<br> 3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.<br> Strong understanding of Artificial Intelligence, Machine Learning, Generative AI, and automation concepts.<br> Strong presentation, communication, and stakeholder management skills.<br> Experience working directly with customers and senior business stakeholders.<br> Excellent problem-solving and analytical skills.<br></span> </div>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI developer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This role sits at the center of that buildout. You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming. We need someone who can execute and see around corners, someone who understands both the product experience and the platform mechanics underneath it.</p> <h4>Key responsibilities</h4> <ul> <li>Build and ship AI features within the Ad Orbit product using our PHP/MySQL/React/Node stack with OpenAI API integration.</li> <li>Extend Astro Core chatbot capabilities with new read/write actions, graph generation, and analysis outputs.</li> <li>Help improve the external MCP connector schema, authentication, and capability surface.</li> <li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li> <li>Build the token metering and usage tracking layer per feature, per customer, per tier.</li> <li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li> <li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li> <li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li> <li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li> </ul> <h4>Requirements</h4> <h4>AI product development</h4> <ul> <li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li> <li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li> <li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li> <li>Experience building quality evaluation and output validation frameworks around AI features.</li> <li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li> </ul> <h4>Platform & architecture thinking</h4> <ul> <li>Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.</li> <li>Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.</li> <li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li> <li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li> </ul> <h4>Core stack</h4> <ul> <li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li> <li>Solid PHP development experience — comfortable extending a production codebase, not just greenfield.</li> <li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li> <li>Typescript: used on the backend of the MCP layer.</li> </ul> <p>Bachelor’s degree in computer science, information systems, engineering or a related field.</p> <p>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</p> <p>Strong understanding of artificial intelligence, machine learning, generative AI, and automation concepts.</p> <p>Strong presentation, communication, and stakeholder management skills.</p> <p>Experience working directly with customers and senior business stakeholders.</p> <p>Excellent problem-solving and analytical skills.</p></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI developer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This role sits at the center of that buildout. You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming. We need someone who can execute and see around corners, someone who understands both the product experience and the platform mechanics underneath it.</p> <h4>Key responsibilities</h4> <ul> <li>Build and ship AI features within the Ad Orbit product using our PHP/MySQL/React/Node stack with OpenAI API integration.</li> <li>Extend Astro Core chatbot capabilities with new read/write actions, graph generation, and analysis outputs.</li> <li>Help improve the external MCP connector schema, authentication, and capability surface.</li> <li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li> <li>Build the token metering and usage tracking layer per feature, per customer, per tier.</li> <li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li> <li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li> <li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li> <li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li> </ul> <h4>Requirements</h4> <h4>AI product development</h4> <ul> <li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li> <li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li> <li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li> <li>Experience building quality evaluation and output validation frameworks around AI features.</li> <li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li> </ul> <h4>Platform & architecture thinking</h4> <ul> <li>Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.</li> <li>Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.</li> <li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li> <li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li> </ul> <h4>Core stack</h4> <ul> <li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li> <li>Solid PHP development experience — comfortable extending a production codebase, not just greenfield.</li> <li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li> <li>Typescript: used on the backend of the MCP layer.</li> </ul> <p>Bachelor’s degree in computer science, information systems, engineering or a related field.</p> <p>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</p> <p>Strong understanding of artificial intelligence, machine learning, generative AI, and automation concepts.</p> <p>Strong presentation, communication, and stakeholder management skills.</p> <p>Experience working directly with customers and senior business stakeholders.</p> <p>Excellent problem-solving and analytical skills.</p></p><p></p>

<p><b><br></b></p><p><b>## Purpose of the Role</b></p><p>This role keeps the company running day to day. It covers the office itself, but the larger part of the job is making sure the different parts of the business move together: warehouse, fleet, sales support, administration and the outside providers the company depends on. The person in this seat is the one management turns to when something needs to be organised, chased, fixed or coordinated across departments, and the one department heads coordinate through when a request touches more than one team.</p><p>It suits someone who is organised, hands on, and comfortable being responsible for outcomes that depend on other people delivering.</p><p>---</p><p>## Key Responsibilities</p><p>### Office and Administration</p><ul><li>Run the daily operation of the office and make sure it is properly staffed, supplied and functioning.</li><li>Supervise administrative staff, receptionists, drivers, messengers and cleaning staff, including scheduling, attendance and daily task assignment.</li><li>Manage office supplies, equipment, furniture and stationery, from requisition through purchase, receipt and distribution.</li><li>Maintain company files, records and archives, both physical and digital, with a structure people can actually find things in.</li><li>Organise meetings, visits and travel arrangements for management and visiting principals, including hotels, transport and itineraries.</li><li>Handle incoming correspondence, courier, calls and visitor flow.</li></ul><p>### Day to Day Coordination Across Departments</p><ul><li>Act as the coordination point between Sales, Warehouse, Procurement, Finance and Administration so that requests do not sit unanswered.</li><li>Follow up daily on open items across the business and escalate anything that is stuck to the General Manager with a proposed solution, not just a problem.</li><li>Prepare and circulate daily and weekly status reports on the areas under this role.</li><li>Support management in preparing information for meetings, reviews and decisions.</li><li>Take on assignments and projects delegated by the General Manager and carry them to completion.</li></ul><p>### Warehouse, Delivery and Fleet Support</p><ul><li>Coordinate with the warehouse on receiving schedules, delivery planning and dispatch, so that shipments and orders move on time.</li><li>Monitor delivery performance, route coverage and customer delivery complaints, and follow up until each case is closed.</li><li>Manage the company vehicle fleet: registration, insurance, mechanic, licences, fuel, maintenance schedules, repairs and vehicle records.</li><li>Track driver assignments, licences and vehicle handovers.</li><li>Coordinate with third party transporters and service providers where used.</li></ul><p>### Facilities, Utilities and Assets</p><ul><li>Manage premises: office, warehouse and any branch location. Maintenance, cleaning, security, generator, electricity, water, internet and telephone.</li><li>Handle contracts and relationships with landlords, maintenance contractors, security companies, insurance providers, telecom and utility providers.</li><li>Maintain the company asset register and follow the condition, location and custody of each asset.</li><li>Oversee health, safety and general workplace conditions, including firefighting equipment, emergency exits and first aid supplies.</li></ul><p>### Purchasing of Non Trade Items and Cost Control</p><ul><li>Handle purchasing of general services and non trade items: office needs, maintenance, printing, promotional and marketing material, and similar.</li><li>Collect quotations, compare, and recommend the supplier before committing.</li><li>Monitor spending against budget for office, facilities, fleet and general administration, and report variances.</li><li>Review supplier invoices for accuracy before submitting them to Finance for payment.</li><li>Identify and act on savings without letting service quality drop.</li></ul><p>### Process, Policy and Systems</p><ul><li>Document and improve internal administrative procedures, forms and workflows so the same task is done the same way each time.</li><li>Enforce company policies and the approval matrix across the areas under this role.</li><li>Make sure transactions and records go through the company system properly rather than staying on someone's desk.</li><li>Support internal and external audit requests related to administration, assets and general expenses.</li></ul><p>### People and Government Related Support</p><ul><li>Support HR with attendance records, leave tracking, staff files, onboarding logistics and new joiner setup.</li><li>Follow up on official and government related paperwork with the relevant authorities and the company's'</li></ul><p><strong>Desired Candidate Profile</strong></p><p><br></p>

<p><h4>Description</h4> <p>Aspire Software is looking for a Forward Deployed Engineer (AI) to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the role</h4> <p>As a Forward Deployed Engineer (AI), you embed directly with our businesses to design and ship AI-powered solutions against real, often messy, problems. You'll move between companies and domains — building a retrieval pipeline for one business one month, standing up an agent workflow for another the next. You own problems end to end: understand the domain, scope the solution, build it, and get it into production.</p> <p>This is fundamentally a builder's role. We care far more about whether you can turn a problem into working software with modern AI tooling than about the title you held before. That means we're open to two kinds of people: experienced software developers, and senior product managers (or others from a product background) who have the technical know-how to actually build things themselves. If you can ship, and you're fluent with AI tooling, the lane you came from matters less than what you can do with it.</p> <h4>Why this role is different</h4> <ul> <li>Hard problems, real impact. The projects are demanding and technically ambitious — you'll work at the frontier of what current AI tooling makes possible, on systems people actually depend on.</li> <li>Breadth no single company can offer. Across finance, logistics, education, government, and automotive, you'll see a far wider range of problems, data, and constraints than you would inside one product — and get sharp at recognizing patterns across all of them.</li> <li>Latest tools, encouraged. We expect you to use the best available AI development tools and to push them hard. Experimentation is part of the job, not a side project.</li> <li>Genuinely generous with tooling. This is one of the real perks of the role. Our leadership structure lets us purchase tools quickly, and we're open about which AI toolsets you use — if a tool will make you faster or better, we'll get it for you without a drawn-out approval process.</li> <li>Autonomy. You're trusted to go deep into a business, figure out what's worth building, and ship it.</li> </ul> <h4>What you'll do</h4> <ul> <li>Embed with portfolio businesses to identify, scope, and build AI-powered solutions to high-value problems.</li> <li>Design and build RAG (retrieval-augmented generation) pipelines and agentic systems that integrate with each business's data and workflows.</li> <li>Integrate large language models via APIs (Anthropic Claude, OpenAI/GPT, and others) into production applications.</li> <li>Use AI-native development tools (Cursor, Claude, Windsurf) and automation platforms (n8n and similar) to build and ship quickly.</li> <li>Take projects from problem framing through to deployed, maintainable software.</li> <li>Move fluidly between business domains, ramping up fast on unfamiliar industries and codebases.</li> </ul> <h4>Requirements</h4> <p>The non-negotiable is that you can build. Beyond that, we recognize two paths into this role:</p> <ul> <li><strong>Senior software developers</strong> — you've built and shipped real systems and can operate independently. (In rare cases we'll consider a less experienced developer who is exceptionally strong with AI tooling, but senior experience is the norm.)</li> <li><strong>Senior product managers / product backgrounds</strong> — you've worked in a product or product-management role and have the genuine technical know-how to build things yourself, not just spec them. If you can take a problem and ship a working AI-powered solution, your product instincts are a real asset here.</li> </ul> <p>Whichever path you come from, we also expect:</p> <ul> <li>Hands-on experience with AI-native tools such as Cursor, Claude, and Windsurf, and a genuine interest in AI more broadly.</li> <li>Comfort integrating AI APIs (Anthropic, OpenAI, and others) into real applications.</li> <li>The ability to own ambiguous problems end to end and ship.</li> <li>Adaptability — you enjoy jumping into new domains and getting productive quickly.</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience building RAG pipelines in production.</li> <li>Experience building agents / agentic workflows.</li> <li>Familiarity with n8n or similar automation / orchestration platforms.</li> <li>Exposure to any of our verticals: finance, logistics, education, government, or automotive.</li> </ul> <h4>Tools & technologies you'll work with</h4> <p>Anthropic Claude · OpenAI/GPT · Cursor · Windsurf · RAG pipelines · AI agents · n8n · LLM APIs</p></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for a Forward Deployed Engineer (AI) to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the role</h4> <p>As a Forward Deployed Engineer (AI), you embed directly with our businesses to design and ship AI-powered solutions against real, often messy, problems. You'll move between companies and domains — building a retrieval pipeline for one business one month, standing up an agent workflow for another the next. You own problems end to end: understand the domain, scope the solution, build it, and get it into production.</p> <p>This is fundamentally a builder's role. We care far more about whether you can turn a problem into working software with modern AI tooling than about the title you held before. That means we're open to two kinds of people: experienced software developers, and senior product managers (or others from a product background) who have the technical know-how to actually build things themselves. If you can ship, and you're fluent with AI tooling, the lane you came from matters less than what you can do with it.</p> <h4>Why this role is different</h4> <ul> <li>Hard problems, real impact. The projects are demanding and technically ambitious — you'll work at the frontier of what current AI tooling makes possible, on systems people actually depend on.</li> <li>Breadth no single company can offer. Across finance, logistics, education, government, and automotive, you'll see a far wider range of problems, data, and constraints than you would inside one product — and get sharp at recognizing patterns across all of them.</li> <li>Latest tools, encouraged. We expect you to use the best available AI development tools and to push them hard. Experimentation is part of the job, not a side project.</li> <li>Genuinely generous with tooling. This is one of the real perks of the role. Our leadership structure lets us purchase tools quickly, and we're open about which AI toolsets you use — if a tool will make you faster or better, we'll get it for you without a drawn-out approval process.</li> <li>Autonomy. You're trusted to go deep into a business, figure out what's worth building, and ship it.</li> </ul> <h4>What you'll do</h4> <ul> <li>Embed with portfolio businesses to identify, scope, and build AI-powered solutions to high-value problems.</li> <li>Design and build RAG (retrieval-augmented generation) pipelines and agentic systems that integrate with each business's data and workflows.</li> <li>Integrate large language models via APIs (Anthropic Claude, OpenAI/GPT, and others) into production applications.</li> <li>Use AI-native development tools (Cursor, Claude, Windsurf) and automation platforms (n8n and similar) to build and ship quickly.</li> <li>Take projects from problem framing through to deployed, maintainable software.</li> <li>Move fluidly between business domains, ramping up fast on unfamiliar industries and codebases.</li> </ul> <h4>Requirements</h4> <p>The non-negotiable is that you can build. Beyond that, we recognize two paths into this role:</p> <ul> <li><strong>Senior software developers</strong> — you've built and shipped real systems and can operate independently. (In rare cases we'll consider a less experienced developer who is exceptionally strong with AI tooling, but senior experience is the norm.)</li> <li><strong>Senior product managers / product backgrounds</strong> — you've worked in a product or product-management role and have the genuine technical know-how to build things yourself, not just spec them. If you can take a problem and ship a working AI-powered solution, your product instincts are a real asset here.</li> </ul> <p>Whichever path you come from, we also expect:</p> <ul> <li>Hands-on experience with AI-native tools such as Cursor, Claude, and Windsurf, and a genuine interest in AI more broadly.</li> <li>Comfort integrating AI APIs (Anthropic, OpenAI, and others) into real applications.</li> <li>The ability to own ambiguous problems end to end and ship.</li> <li>Adaptability — you enjoy jumping into new domains and getting productive quickly.</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience building RAG pipelines in production.</li> <li>Experience building agents / agentic workflows.</li> <li>Familiarity with n8n or similar automation / orchestration platforms.</li> <li>Exposure to any of our verticals: finance, logistics, education, government, or automotive.</li> </ul> <h4>Tools & technologies you'll work with</h4> <p>Anthropic Claude · OpenAI/GPT · Cursor · Windsurf · RAG pipelines · AI agents · n8n · LLM APIs</p></p><p></p>

<p>Aspire Software is looking for a Senior .NET/C# developer to join our team in Lebanon. About the Role: This is a very small team, and that shapes everything about the role. You'll have real autonomy and immediate impact and there's no one to hide behind: you will own what you ship, in a system that government departments depend on every day. For the right person that's the most interesting thing about the job. If it sounds like too much, it probably is and that's fine. This is not a ticket-taking role. You'll evaluate the platform, form strong opinions, and drive improvements to how it's built and how it feels to use. What you'd be working on The newest parts of the platform are an AI-driven workflow engine that uses LLMs to turn unstructured correspondence into structured data, and a set of recent .NET services built on current versions of the framework. Alongside them run several Spring Boot services on Java 21 handling authentication, search, document conversion and transport so some working knowledge of Java is needed. The core of the product is a mature ASP.NET/C# codebase MVC, Razor, jQuery, Kendo UI, SQL Server and Oracle with an older server-rendered administration area and a legacy reporting stack that we intend to replace. Modernizing these incrementally, without disrupting the organizations that depend on them, is a significant part of this role and one of the more interesting engineering problems here. We're also looking at how this platform evolves toward cloud delivery, and there'll be room to shape that. We're telling you this plainly because we'd rather you arrive knowing what the work actually is. If the idea of steadily improving a system that matters appeals to you more than starting from a blank page, this will suit you. We operate AI-first. Daily, hands-on use of AI-assisted tools (Claude Code, Cursor, GitHub Copilot) is a core requirement not to generate code blindly, but to design, implement and critically review production-quality work alongside your own technical judgment. What you'll do Build and improve features and services in .NET/C#. Modernize legacy components incrementally identify outdated patterns and propose concrete refactoring, with a realistic sense of what's worth changing and what isn't. Evaluate user workflows and interfaces, and reduce friction where the product doesn't serve users well. Write and maintain automated tests for what you ship. We have a substantial Playwright end-toend suite covering the web application and the service APIs; unit-test coverage in the .NET code is where the gap is, and closing it is part of the job. Contribute to the LLM workflow engine: understand how it uses LLMs, find its limits, and improve prompts, workflows and data-processing logic for better accuracy and reliability. Integrate APIs, messaging and third-party services. Take initiative step into problems before they're assigned and drive them to done. Share context early and keep the team in the loop. Solid, real-world experience shipping applications in .NET/C#; comfortable reading and improving large existing codebases. Hands-on experience with LLM-based systems prompt engineering, evaluating and improving model output, and building or maintaining LLM-driven workflows in production. Comfort in a server-rendered stack Razor, jQuery, Kendo and the patience to improve it step by step rather than rewrite it. Enough working knowledge of Java to understand and contribute to Spring Boot services. Good grasp of API design, backend services and relational databases. The habit of testing your own work comfortable with end-to-end tests, and willing to write the first unit tests for modules that have no coverage today. Practical software-design sense, and the judgment to know when to apply it. Strong communication and collaboration a must-have. You work well side by side with others and you're approachable. Fluent English, written and spoken a must-have. Mandatory: daily, hands-on use of AI-assisted dev tools to produce, review and ship production code. A bias toward improving systems rather than accepting them as-is, and comfort working with limited direction. How we work - Definition of done A change isn't done until it's tested. Every feature, fix or refactor ships with the automated tests that prove it works and guard against regressions. In a small team with no separate QA function, developers own the quality of what they deliver. Nice to have Experience taking an on-premise product toward cloud or SaaS delivery containerization, multi-tenancy, CI/CD pipelines, or cloud deployment (Azure preferred). Background in enterprise or government software compliance, auditability, accessibility. Front-end modernization experience, migrating legacy server-rendered UIs. Playwright experience.</p><p><strong>Desired Candidate Profile</strong></p><p>Solid, real-world experience shipping applications in .NET/C#; comfortable reading and improving large existing codebases. Hands-on experience with LLM-based systems prompt engineering, evaluating and improving model output, and building or maintaining LLM-driven workflows in production. Comfort in a server-rendered stack Razor, jQuery, Kendo and the patience to improve it step by step rather than rewrite it. Enough working knowledge of Java to understand and contribute to Spring Boot services. Good grasp of API design, backend services and relational databases. The habit of testing your own work comfortable with end-to-end tests, and willing to write the first unit tests for modules that have no coverage today. Practical software-design sense, and the judgment to know when to apply it. Strong communication and collaboration a must-have. You work well side by side with others and you're approachable. Fluent English, written and spoken a must-have. Mandatory: daily, hands-on use of AI-assisted dev tools to produce, review and ship production code. A bias toward improving systems rather than accepting them as-is, and comfort working with limited direction.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a Data Scientist to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: We are looking for a Senior Machine Learning Engineer who wants to own that evolution.<br> This is not a research-only role.<br> You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services.<br> Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.<br> What You'll Work On -Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.<br> Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.<br> Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.<br> Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.<br> Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior.<br> Trace customer-reported issues to their root cause and turn incidents into lasting improvements.<br> Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.<br> Tech Stack Python 3.<br>11, FastAPI, Pydantic, SQLAlchemy 2.<br>0, and Alembic PostgreSQL/Supabase and Redis Pandas, Polars, NumPy, and statsmodels OpenAI, Anthropic, LangChain, and LangGraph PredictHQ and multiple hotel PMS and market-data integrations AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch Docker, GitHub Actions, Prometheus, and PostHog Experience taking machine-learning systems from problem definition through production deployment and monitoring.<br> Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.<br> A solid foundation in statistics, experimentation, forecasting, and model evaluation.<br> Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.<br> Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.<br> Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.<br> Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.<br> A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.<br> The judgment to balance model sophistication with reliability, explainability, and business value.<br> Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.<br> Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.<br> A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.<br> Years of experience are a useful signal, but not the deciding factor.<br> We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.<br> Nice to Have You do not need everything on this list: Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.<br> Probabilistic demand forecasting or hierarchical Bayesian modeling.<br> Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.<br> Causal inference and off-policy evaluation.<br> Model drift, data-quality monitoring, and experiment-tracking systems.<br> Multi-tenant SaaS or event-driven architectures.<br> Debugging distributed systems and third-party integrations in production.<br> LLM applications and agentic workflows.<br> AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.<br> Hospitality experience is welcome, but not required.<br> We will help you learn the domain.<br> What We Value Speed with quality — Ship fast, but ship code and models a staff engineer would approve AI-native workflow — You don't just know about AI tools, you use them daily to write, debug, and architect Ownership — Pick up a problem and drive it to completion without hand-holding Simplicity — Elegant solutions over over-engineered ones.<br> Minimal code that does the job Curiosity — Our domain (hotel revenue optimization) has real depth.<br> You're excited to learn it</span> </div>

<p><h4>About the company</h4> <p>Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>We are looking for a senior machine learning engineer who wants to own that evolution. This is not a research-only role. You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services. Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.</p> <h4>What you'll work on</h4> <ul> <li><strong>Pricing intelligence:</strong> Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.</li> <li><strong>Demand forecasting:</strong> Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.</li> <li><strong>Safe experimentation:</strong> Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.</li> <li><strong>Production ML:</strong> Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.</li> <li><strong>Problem-solving and customer investigations:</strong> Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements.</li> <li><strong>Data and intelligent experiences:</strong> Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.</li> </ul> <h4>Tech stack</h4> <ul> <li>Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, and Alembic</li> <li>PostgreSQL/Supabase and Redis</li> <li>Pandas, Polars, NumPy, and statsmodels</li> <li>OpenAI, Anthropic, LangChain, and LangGraph</li> <li>PredictHQ and multiple hotel PMS and market-data integrations</li> <li>AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch</li> <li>Docker, GitHub Actions, Prometheus, and PostHog</li> </ul> <h4>Requirements</h4> <ul> <li>Experience taking machine-learning systems from problem definition through production deployment and monitoring.</li> <li>Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.</li> <li>A solid foundation in statistics, experimentation, forecasting, and model evaluation.</li> <li>Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.</li> <li>Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.</li> <li>Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.</li> <li>Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.</li> <li>A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.</li> <li>The judgment to balance model sophistication with reliability, explainability, and business value.</li> <li>Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.</li> <li>Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.</li> <li>A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.</li> <li>Years of experience are a useful signal, but not the deciding factor. We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.</li> </ul> <h4>Nice to have</h4> <p>You do not need everything on this list:</p> <ul> <li>Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.</li> <li>Probabilistic demand forecasting or hierarchical Bayesian modeling.</li> <li>Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.</li> <li>Causal inference and off-policy evaluation.</li> <li>Model drift, data-quality monitoring, and experiment-tracking systems.</li> <li>Multi-tenant SaaS or event-driven architectures.</li> <li>Debugging distributed systems and third-party integrations in production.</li> <li>LLM applications and agentic workflows.</li> <li>AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.</li> <li>Hospitality experience is welcome, but not required. We will help you learn the domain.</li> </ul> <h4>What we value</h4> <ul> <li>Speed with quality — ship fast, but ship code and models a staff engineer would approve.</li> <li>AI-native workflow — you don't just know about AI tools, you use them daily to write, debug, and architect.</li> <li>Ownership — pick up a problem and drive it to completion without hand-holding.</li> <li>Simplicity — elegant solutions over over-engineered ones. Minimal code that does the job.</li> <li>Curiosity — our domain (hotel revenue optimization) has real depth. You're excited to learn it.</li> </ul></p><p></p>

<p>Aspire Software is looking for a Data Scientist to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p><p>About the job: We are looking for a Senior Machine Learning Engineer who wants to own that evolution. This is not a research-only role. You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services. Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.</p><p>What You'll Work On</p><ul><li>Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.</li><li>Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.</li><li>Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.</li><li>Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.</li><li>Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements.</li><li>Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.</li></ul><p>Tech Stack</p><ul><li>Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, and Alembic</li><li>PostgreSQL/Supabase and Redis</li><li>Pandas, Polars, NumPy, and statsmodels</li><li>OpenAI, Anthropic, LangChain, and LangGraph</li><li>PredictHQ and multiple hotel PMS and market-data integrations</li><li>AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch</li><li>Docker, GitHub Actions, Prometheus, and PostHog</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Experience taking machine-learning systems from problem definition through production deployment and monitoring.</li><li>Strong Python and SQL skills, including experience building modular, typed, tested production software not only exploratory notebooks.</li><li>A solid foundation in statistics, experimentation, forecasting, and model evaluation.</li><li>Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.</li><li>Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.</li><li>Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.</li><li>Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.</li><li>A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.</li><li>The judgment to balance model sophistication with reliability, explainability, and business value.</li><li>Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.</li><li>Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.</li><li>A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.</li><li>Years of experience are a useful signal, but not the deciding factor. We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.</li></ul><p>Nice to Have</p><ul><li>You do not need everything on this list:</li><li>Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.</li><li>Probabilistic demand forecasting or hierarchical Bayesian modeling.</li><li>Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.</li><li>Causal inference and off-policy evaluation.</li><li>Model drift, data-quality monitoring, and experiment-tracking systems.</li><li>Multi-tenant SaaS or event-driven architectures.</li><li>Debugging distributed systems and third-party integrations in production.</li><li>LLM applications and agentic workflows.</li><li>AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.</li><li>Hospitality experience is welcome, but not required. We will help you learn the domain.</li></ul><p>What We Value</p><ul><li>Speed with quality: Ship fast, but ship code and models a staff engineer would approve</li><li>AI-native workflow: You don't just know about AI tools, you use them daily to write, debug, and architect</li><li>Ownership: Pick up a problem and drive it to completion without hand-holding</li><li>Simplicity: Elegant solutions over over-engineered ones. Minimal code that does the job</li><li>Curiosity: Our domain (hotel revenue optimization) has real depth. You're excited to learn it</li></ul>

<p>Day-to-day vessel operations and coordination with Masters.</p><p>Vessel requisitions, purchasing coordination, and supplier follow-up.</p><p>Inventory and vessel stores monitoring.</p><p>Coordination with Technical and Procurement teams.</p><p>Repairs, workshops, surveys, and service providers.</p><p>Vessel OPEX and cost monitoring.</p><p>Marine documentation, reporting, and compliance.</p><p>Strong organizational, communication, and follow-up skills.</p><p><strong>Desired Candidate Profile</strong></p><p>Experience: 5 7 years in marine operations, ship management, or a related maritime environment.</p>

<p>Build production AI systems for clients. You'll design and ship agentic workflows on Claude and AWS Bedrock AgentCore, retrieval systems backed by Bedrock Knowledge Bases, and MCP-based automations that connect directly into client tool stacks (Notion, Linear, HubSpot, AWS, Google Workspace, and more). This is a hands-on build role. You will write code, deploy infrastructure, and sit in client rooms explaining why the system behaves the way it does.</p><p><strong>Tasks &amp; Responsibilities</strong></p><ul><li>Design and build applied AI systems on Claude and AWS Bedrock AgentCore: RAG pipelines backed by Bedrock Knowledge Bases, agentic workflows, and multi-tool orchestration via MCP.</li><li>Own delivery of AI components end-to-end: architecture, implementation, evaluation, and post-launch monitoring.</li><li>Integrate Claude-based agents with client infrastructure and business tools via MCP servers (HubSpot, Notion, Linear, Google Workspace).</li><li>Translate ambiguous client problems into scoped technical builds with clear success criteria and numbers attached.</li><li>Document architecture and decisions in the client's Notion record so infra details never live only in someone's head.</li><li>Work alongside Pre-Sales Engineers during scoping calls to validate technical feasibility before commitments are made.</li><li>Select and tune the right model, retrieval strategy, and Knowledge Base configuration per use case.</li><li>Build and maintain eval suites (offline test sets, regression checks, LLM-as-judge scoring) that catch quality drift before a client does.</li><li>Design agentic control flow: tool-selection logic, retry/fallback paths, and guardrails against runaway loops or unsafe tool calls.</li><li>Instrument production systems with logging, tracing, and cost/latency dashboards to debug a bad output from a client.</li><li>Write modular infrastructure as code (Terraform) for AI workloads on AWS.</li><li>Conduct architecture reviews on other engineers' AI builds and flag failure modes before they ship.</li></ul><p><strong>Competencies</strong></p><ul><li>Can explain to a client, in plain language, why an agent made the tool call it made</li><li>Comfortable debugging a production LLM failure under time pressure, not just in a notebook</li><li>Can wire an MCP server into an agent and debug why a tool call didn't fire</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Education, Experience &amp; Language</h2><ul><li>Master's degree in Computer Science or equivalent</li><li>Previous experience building and shipping production ML/AI systems</li><li>Fluent in English and Arabic</li></ul><h2>Tools &amp; Certifications</h2><ul><li>Strong Python engineering; comfort with AWS</li><li>Practical experience with LLM application patterns: RAG, agentic tool-use via MCP, prompt engineering, evaluation design</li><li>Hands-on experience with AWS Bedrock AgentCore and Bedrock Knowledge Bases</li><li>Nice to have: AWS Certified Machine Learning Engineer Associate, AWS Certified Generative AI Developer Professional, AWS Certified Solutions Architect Associate or Professional, AWS Certified Developer Associate, AWS Certified Security Specialty (relevant given our compliance posture)</li></ul>