Jobs in Tourism Sector in Lebanon
1210 Jobs Found
Recruiting For You By Grace Antoun
Lebanon - Mount Lebanon
<p>A hotel in Tabarja is looking for a professional Front Office Agent to join our team.</p><p>-Previous experience in Front Office or Guest Services is preferred.</p><p>-English is required</p><p>-Ability to work flexible shifts.</p><p><strong>Desired Candidate Profile</strong></p><p>Previous experience in Front Office or Guest Services is preferred.</p><p>English is required</p><p>Ability to work flexible shifts.</p>
AccorHotels
Lebanon - Beirut
<p><h4>Company description</h4>
<p>Le Vendôme Beirut is embarking on an exceptional new chapter. As we prepare for the reopening of one of Beirut's most iconic luxury hotels, we are seeking visionary leaders to shape its future.</p>
<p>Defined by timeless elegance, impeccable service, and a legacy of refined hospitality, Le Vendôme Beirut is committed to delivering exceptional guest experiences while honoring its distinguished heritage.</p>
<p>This is a rare opportunity to join the executive leadership team responsible for redefining luxury, inspiring excellence, and setting a new benchmark for hospitality in the region.</p>
<h4>What is in it for you:</h4>
<ul>
<li>Employee benefit card offering discounted rates in Accor worldwide for you and your family</li>
<li>Learning programs through our academies designed to sharpen your skills</li>
<li>Ability to make a difference through our corporate social responsibility activities</li>
<li>Career development opportunities with national and international promotion opportunities</li>
</ul>
<h4>Why work for Accor?</h4>
<p>We are far more than a worldwide leader. We welcome you as you are and you can find a job and brand that matches your personality. We support you to grow and learn every day, making sure that work brings purpose to your life, so that during your journey with us, you can continue to explore Accor’s limitless possibilities.</p>
<p>By joining Accor, every chapter of your story is yours to write and together we can imagine tomorrow's hospitality.</p>
<p>Do what you love, care for the world, dare to challenge the status quo! #BELIMITLESS</p>
<h4>Job description</h4>
<ul>
<li>Develop and implement the hotel’s annual sales and marketing strategy in line with business objectives and brand standards.</li>
<li>Lead the sales & marketing team to achieve revenue, market share, and profitability targets.</li>
<li>Identify new business opportunities and develop strong relationships with key corporate clients, travel agencies, government entities, MICE planners, and other business partners.</li>
<li>Oversee all sales segments, including corporate, leisure, groups, MICE, and events.</li>
<li>Develop and execute effective marketing, digital, social media, PR, and communication strategies.</li>
<li>Work closely with the revenue management team to optimize pricing, distribution, demand generation, and revenue opportunities.</li>
<li>Analyze market trends, competitor activities, customer insights, and business performance to identify growth opportunities.</li>
<li>Prepare annual budgets, sales action plans, forecasts, and regular performance reports.</li>
<li>Lead negotiations for key accounts, strategic partnerships, and major business opportunities.</li>
<li>Ensure consistent brand positioning and compliance with brand and corporate marketing guidelines.</li>
<li>Collaborate closely with operational departments to ensure a seamless guest and client experience.</li>
<li>Represent the hotel at industry events, trade shows, networking activities, and client engagements.</li>
<li>Coach, develop, and motivate team members to build a high-performing sales & marketing team.</li>
</ul>
<h4>Qualifications</h4>
<ul>
<li>Bachelor’s degree in business administration, hospitality management, marketing, or a related field.</li>
<li>Minimum of 8–10 years of progressive experience in sales & marketing within the hospitality industry, including at least 3–5 years in a senior leadership role.</li>
<li>Experience in luxury or upscale international hotel brands is highly preferred.</li>
<li>Strong knowledge of hotel sales, marketing, digital channels, revenue generation, and market analysis.</li>
<li>Proven track record of achieving revenue and business development targets.</li>
<li>Excellent leadership, communication, negotiation, and relationship-building skills.</li>
<li>Strong commercial acumen and strategic planning abilities.</li>
<li>Ability to work effectively in a fast-paced and dynamic environment.</li>
<li>Proficiency in English is required; additional languages are an advantage.</li>
</ul>
<h4>Additional information</h4>
<p>Our commitment to diversity & inclusion:</p>
<p>We are an inclusive company and our ambition is to attract, recruit and promote diverse talent.</p>
<h4>Why work for Accor?</h4>
<p>We are far more than a worldwide leader. We welcome you as you are and you can find a job and brand that matches your personality. We support you to grow and learn every day, making sure that work brings purpose to your life, so that during your journey with us, you can continue to explore Accor’s limitless possibilities.</p>
<p>By joining Accor, every chapter of your story is yours to write and together we can imagine tomorrow's hospitality.</p>
<p>Do what you love, care for the world, dare to challenge the status quo! #BELIMITLESS</p></p><p></p>
Business consultant
Lebanon
Role Overview
<br>We are expanding our operations in the Democratic Republic of Congo and looking for an exceptional mechanical engineer to join our site team.
<br>
<br>If you are a hands-on mechanical expert who thrives in heavy industrial environments and excels at maximizing equipment uptime, diagnosing complex mechanical failures, and optimizing machinery performance, this role is for you! You will be the technical backbone ensuring our heavy assets operate safely, efficiently, and reliably.
<br>
<br>Key Responsibilities
<br>Equipment Reliability & Maintenance: Develop and execute comprehensive preventive and predictive maintenance programs for heavy machinery and industrial equipment to maximize operational uptime.
<br>
<br>Root-Cause Failure Analysis: Lead investigations into mechanical breakdowns, component failures, and system anomalies. Design and implement permanent engineering solutions to prevent recurrence.
<br>
<br>Technical Oversight & Spare Parts Specifications: Define technical specifications for critical spare parts, review material quality, and collaborate with procurement to ensure replacement components meet rigorous engineering standards.
<br>
<br>Installation & Commissioning: Oversee the installation, alignment, testing, and commissioning of new mechanical systems, hydraulic/pneumatic circuits, and heavy plant equipment.
<br>
<br>Workshop & Team Leadership: Guide on-site technicians and mechanical teams during complex repairs, ensuring strict adherence to safety protocols, quality standards, and standard operating procedures (SOPs).
<br>
<br>Role Requirements & Qualifications
<br>Education: Bachelor’s degree in Mechanical Engineering or a closely related technical engineering discipline.
<br>
<br>Language: Proficiency in French (spoken and written) for effective on-site communication and technical oversight
Vacancy Insider
Lebanon - Tripoli
Responsible for supervising and guiding a team working on low current systems (CCTV, alarms, access control) and renewable energy projects (solar). Ensures projects are executed safely, efficiently, and in compliance with technical standards while supporting and developing team performance.
<br>• Track progress on projects and manage resources effectively and submit daily report to the project coordinator concerning the projects assigned.
<br>• Provide regular feedback to project coordinator and supervisor to improve performance
<br>• Communicate with clients on site concerning any inquiries and provide supervisors with feedbacks.
<br>• Handle any issues or delays that may arise on-site and find solutions quickly
<br>• Ensure that clients sign the receipt confirming the project has been completed and finalized, and collect payment from clients when applicable.
<br>(Education and Experience) and SKILLS:
<br>• Proven experience as a technician in low current systems, renewable energy, or both.
<br>• At least 2- 3 years of leadership experience, leading teams in technical projects.
<br>• Strong knowledge of low current systems (CCTV, alarms, access control) and/or solar energy systems.
<br>• Excellent communication skills and the ability to motivate and guide a team.
<br>• Ability to solve problems quickly and make decisions under pressure.
<br>• Strong organizational skills and experience in leading multiple tasks at once.
<br>• Valid driver’s license and flexibility to work in different work sites
toto
Lebanon - Bekaa
Location: Chtoura, Lebanon
<br>Department: Student Support
<br>Reports to: Student Support Supervisor
<br>Working Hours: Monday–Friday: 9:00 AM–6:00 PM | Saturday: 9:00 AM–1:30 PM
<br>
<br>Role Summary
<br>
<br>Medlink Students is a leading education consultancy that helps students gain admission to top medical and dental universities across Europe. As a Student Support Coordinator, you will guide students throughout their journey after enrollment, ensuring they receive professional support with documentation, university communication, interview preparation, visa processes, and arrival arrangements. You will play a key role in delivering an exceptional student experience while ensuring every case is handled accurately, efficiently, and professionally.
<br>
<br>How This Role Fits Into the Organisation
<br>
<br>The Student Support Coordinator is a vital part of Medlink Students’ operations. You serve as the main point of contact for students, helping them navigate important milestones on their path to studying abroad. Your work directly contributes to student satisfaction, successful university placements, and the overall success of the organisation.
<br>
<br>Responsibilities
<br>Support students throughout their educational journey, including documentation, university applications, interview preparation, visa requirements, and arrival support.
<br>Monitor, track, and follow up on university applications, exemptions, admissions decisions, and related administrative processes.
<br>Communicate with universities, embassies, ministries, and partner institutions to confirm requirements and resolve student-related issues.
<br>Manage high-volume daily communication (approximately 20–60 WhatsApp messages and 20–150 emails per day) with professionalism, empathy, and accuracy.
<br>Maintain structured, complete, and accurate student records using Google Drive, Oscar, CRM systems, and other internal platforms.
<br>Coordinate with internal departments, including Sales, Legal, Marketing, and Student Services, to ensure smooth progress of student cases.
<br>Assist students with problem-solving and provide timely updates throughout the admissions and relocation process.
<br>Support webinars, student feedback initiatives, case studies, and continuous improvement projects.
<br>Contribute to process development and assist with onboarding or training new team members when required.
<br>Qualifications
<br>1+ year of experience in student support, admissions, administration, customer service, or a related role.
<br>Fluency in English (spoken and written).
<br>Strong organisational skills and exceptional attention to detail.
<br>Excellent communication and interpersonal skills.
<br>Ability to manage multiple priorities and deadlines simultaneously.
<br>Confidence using digital tools such as Google Drive, CRM systems, Trello, and 3CX.
<br>A proactive, solution-oriented mindset with strong problem-solving abilities.
<br>Ability to work effectively both independently and as part of a team.
<br>Apply Now
Lebanon
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><span><strong>Key Accountabilities</strong></span></p><br><p><strong>Culinary Excellence</strong></p><br><ul><li>Plan, organize, and execute banquet food production according to event requirements and service timelines. </li><li>Ensure all dishes meet established quality, presentation, and consistency standards. </li><li>Support menu planning and culinary innovation in collaboration with the Executive Chef. </li><li>Participate in menu tastings and customization for special events and VIP functions. </li><li>Maintain a guest-focused approach to elevate the overall banquet dining experience. </li></ul><p><strong>Operational Leadership</strong></p><br><ul><li>Lead daily banquet kitchen operations and production planning. </li><li>Coordinate with Culinary, Events, Stewarding, and F&B teams to ensure seamless event execution. </li><li>Supervise, motivate, and develop culinary colleagues to achieve operational excellence. </li><li>Manage staffing and scheduling according to business demand. </li></ul><p><strong>Food Safety & Compliance</strong></p><br><ul><li>Maintain compliance with food safety, hygiene, sanitation, and HACCP requirements. </li><li>Ensure proper food handling, storage, labeling, and waste control procedures. </li><li>Promote a safe and organized working environment. </li></ul><p><strong>Financial & Business Performance</strong></p><br><ul><li>Support food cost control initiatives and efficient use of resources. </li><li>Monitor inventory levels and assist with purchasing requirements. </li><li>Contribute to productivity and continuous improvement opportunities within the operation. </li></ul><p><strong>What We’re Looking For</strong></p><br><p><strong>Experience</strong></p><br><ul><li>Minimum <strong>3–5 years of culinary leadership experience</strong>, ideally within banquet or large-volume hotel operations. </li><li>Previous experience in luxury hospitality or international hotel brands preferred. </li><li>Proven experience managing teams and delivering high-quality event catering. </li></ul><p><strong>Qualifications</strong></p><br><ul><li>Diploma or Degree in Culinary Arts, Hospitality Management, or related field preferred. </li><li>Food Safety / HACCP certification preferred. </li></ul><p><strong>Skills & Competencies</strong></p><br><ul><li>Leadership and people development </li><li>Strong planning and organization skills </li><li>High attention to detail and quality standards </li><li>Effective communication and collaboration </li><li>Ability to perform under pressure in a dynamic environment </li><li>Cost awareness and operational mindset</li></ul><p><span><strong>What We Offer </strong></span></p><br><p><span>We’ll reward all your hard work with a great salary and benefits – including a uniform, great room discount and superb training. </span></p><br><p><span>Join us and you’ll become part of the family – and like all families, all our individual team members share some winning characteristics. As a team, we work better together – we trust and support each other, we do the right thing and we welcome different perspectives. You need to show us you care: that you notice the little things that make a difference to guests as well as always looking for ways to improve - visit www.http://careers.ihg.com to find out more about us.</span></p><br><p><span>IHG is an equal opportunity employer: Minorities / Females / Disabled / Veterans.</span></p><br><br> </div>
Lebanon - Mount Lebanon
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li>
<li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li>
<li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li>
<li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li>
<li>3+ years of mortgage, lending, real estate, or financial services experience;</li>
<li>Current or recent experience in underwriting and origination or adjacent roles;</li>
<li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li>
<li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply. Pass qualification(s). Join a project. Complete tasks. Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Lebanon - Mount Lebanon
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li>
<li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li>
<li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li>
<li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li>
<li>3+ years of mortgage, lending, real estate, or financial services experience;</li>
<li>Current or recent experience in underwriting and origination or adjacent roles;</li>
<li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li>
<li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply. Pass qualification(s). Join a project. Complete tasks. Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Lebanon - Mount Lebanon
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li>
<li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li>
<li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li>
<li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li>
<li>3+ years of mortgage, lending, real estate, or financial services experience;</li>
<li>Current or recent experience in underwriting & origination or adjacent roles;</li>
<li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li>
<li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Lebanon - Mount Lebanon
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li>
<li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li>
<li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li>
<li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li>
<li>3+ years of mortgage, lending, real estate, or financial services experience;</li>
<li>Current or recent experience in underwriting & origination or adjacent roles;</li>
<li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li>
<li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Lebanon - Mount Lebanon
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li>
<li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li>
<li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li>
<li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li>
<li>3+ years of mortgage, lending, real estate, or financial services experience;</li>
<li>Current or recent experience in underwriting and origination or adjacent roles;</li>
<li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li>
<li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Lebanon - Mount Lebanon
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);</li>
<li>Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;</li>
<li>Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;</li>
<li>Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;</li>
<li>3+ years of mortgage, lending, real estate, or financial services experience;</li>
<li>Current or recent experience in underwriting and origination or adjacent roles;</li>
<li>Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;</li>
<li>Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;</li>
<li>Strong written English (C1+).</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
Lebanon
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance); Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E; Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance; Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field; 3+ years of of mortgage, lending, real estate, or financial services experience; Current or recent experience in underwriting & origination or adjacent roles; Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1; Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
Lebanon
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance); Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E; Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance; Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field; 3+ years of of mortgage, lending, real estate, or financial services experience; Current or recent experience in underwriting & origination or adjacent roles; Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1; Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
Reputable Fitness Club in Beirut
Lebanon - Beirut
Job Summary
<br>The Customer Service Representative is the primary point of contact between the club and its members. This role ensures a service-driven, member-focused culture by actively listening to member needs, coordinating timely follow-up, and maintaining a consistently positive experience across all communication channels.
<br>I. Duties and Responsibilities
<br>Member Communication & Support
<br>• Serve as the first point of contact for members across all communication channels — in person, by phone, and via digital platforms.
<br>• Listen attentively to member feedback, concerns, and requests, ensuring every interaction is handled with empathy, professionalism, and a genuine desire to help.
<br>• Handle member complaints, feedback, and experience-related cases with composure and a solution-oriented mindset.
<br>• Cover member inquiries when the relevant team member is unavailable, ensuring no member concern goes unaddressed.
<br>Follow-Up & Member Satisfaction
<br>• Proactively reach out to members to check in on their experience, particularly at key moments in their membership journey.
<br>• Follow up after reported issues to confirm resolution and ensure the member's satisfaction has been restored.
<br>• Escalate unresolved or recurring concerns to the appropriate team member or manager with full context and documentation.
<br>• Coordinate with the administrator and follow up with members who have due payments
<br>Feedback Monitoring & Reporting
<br>• Document all member interactions and feedback in the designated system to ensure accurate tracking and accountability.
<br>• Monitor feedback patterns over time, identifying recurring themes and translating them into actionable insights.
<br>• Prepare periodic feedback summaries and contribute to team discussions on service improvement.
<br>• Conduct member satisfaction surveys periodically to gather structured feedback on the overall gym experience.
<br>Team Contribution & Service Culture
<br>• Foster a member-centric mindset across the team through daily interactions, coaching, and knowledge sharing.
<br>• Share member compliments and positive feedback to reinforce service standards and build team morale.
<br>• Propose service training topics and process improvements based on real interaction patterns.
<br>• Collaborate closely with the Administrator, interchanging roles when operational needs require it.
<br>II. Required Competencies
<br>• Empathy & Patience: The ability to remain calm, kind, and composed — particularly when handling frustration, complaints, or sensitive member situations.
<br>• Customer Centricity: A genuine mindset and drive to continuously understand member needs, expectations, and shifts in behavior.
<br>• Communication & Problem Solving: The ability to convey information clearly and concisely — both verbally and non-verbally — in a way that prevents issues from escalating and resolves them efficiently when they do.
<br>• Accountability: Owning every interaction from start to finish — ensuring nothing is left open, undocumented, or unresolved without a clear next step.
<br>• Teamwork: A collaborative instinct that recognizes the CSR's role as part of a wider service team — not a standalone function.
<br>• Creativity & Adaptability: The ability to handle unexpected situations, adjust communication style to different member personalities, and find solutions that the standard script doesn't cover.
<br>
<br>
<br>This job description is a guide to the nature of the work and is not an exhaustive list of duties. The post-holder will be expected to adapt to the changing needs of the business and perform other duties as reasonably requested
Client of hirelebanese
Lebanon - Beirut
<p>The Junior Accountant supports the Finance department in the day-to-day accounting operations of the hotel, including revenue posting, accounts payable/receivable, cash handling reconciliation, and general ledger support. This role requires close coordination with Front Office, F&B outlets, and Purchasing to ensure accurate and timely financial reporting for a 60-room property with all F&B outlets.</p>
Lebanon
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<br>Company Description<br><br><p>Le Vendôme Beirut is embarking on an exceptional new chapter. As we prepare for the reopening of one of Beirut's most iconic luxury hotels, we are seeking visionary leaders to shape its future.</p><br><p>Defined by timeless elegance, impeccable service, and a legacy of refined hospitality, Le Vendôme Beirut is committed to delivering exceptional guest experiences while honoring its distinguished heritage.</p><br><p>This is a rare opportunity to join the executive leadership team responsible for redefining luxury, inspiring excellence, and setting a new benchmark for hospitality in the region.</p><br><p><strong>What is in it for you:</strong></p><br><ul><li>Employee benefit card offering discounted rates in Accor worldwide for you and your family</li><li>Learning programs through our Academies designed to sharpen your skills</li><li>Ability to make a difference through our Corporate Social Responsibility activities</li><li>Career development opportunities with national and international promotion opportunities.</li></ul><p><strong>Why work for Accor?</strong></p><br><ul><li>We are far more than a worldwide leader. We welcome you as you are and you can find a job and brand that matches your personality. We support you to grow and learn every day, making sure that work brings purpose to your life, so that during your journey with us, you can continue to explore Accor’s limitless possibilities.<br>By joining Accor, every chapter of your story is yours to write and together we can imagine tomorrow's hospitality. Discover the life that awaits you at Accor, visit https://careers.accor.com/</li></ul><p>Do what you love, care for the world, dare to challenge the status quo! <strong>#BELIMITLESS</strong></p><br><br>Job Description<br><br><ul><li>Develop and implement the hotel’s annual sales and marketing strategy in line with business objectives and brand standards.</li><li>Lead the Sales & Marketing team to achieve revenue, market share, and profitability targets.</li><li>Identify new business opportunities and develop strong relationships with key corporate clients, travel agencies, government entities, MICE planners, and other business partners.</li><li>Oversee all sales segments, including Corporate, Leisure, Groups, MICE, and Events.</li><li>Develop and execute effective marketing, digital, social media, PR, and communication strategies.</li><li>Work closely with the Revenue Management team to optimize pricing, distribution, demand generation, and revenue opportunities.</li><li>Analyze market trends, competitor activities, customer insights, and business performance to identify growth opportunities.</li><li>Prepare annual budgets, sales action plans, forecasts, and regular performance reports.</li><li>Lead negotiations for key accounts, strategic partnerships, and major business opportunities.</li><li>Ensure consistent brand positioning and compliance with brand and corporate marketing guidelines.</li><li>Collaborate closely with operational departments to ensure a seamless guest and client experience.</li><li>Represent the hotel at industry events, trade shows, networking activities, and client engagements.</li><li>Coach, develop, and motivate team members to build a high-performing Sales & Marketing team.</li></ul><br>Qualifications<br><br><ul><li>Bachelor’s degree in Business Administration, Hospitality Management, Marketing, or a related field.</li><li>Minimum of <strong>8–10 years of progressive experience in Sales & Marketing within the hospitality industry</strong>, including at least <strong>3–5 years in a senior leadership role</strong>.</li><li>Experience in luxury or upscale international hotel brands is highly preferred.</li><li>Strong knowledge of hotel sales, marketing, digital channels, revenue generation, and market analysis.</li><li>Proven track record of achieving revenue and business development targets.</li><li>Excellent leadership, communication, negotiation, and relationship-building skills.</li><li>Strong commercial acumen and strategic planning abilities.</li><li>Ability to work effectively in a fast-paced and dynamic environment.</li><li>Proficiency in English is required; additional languages are an advantage.</li></ul><br>Additional Information<br><br><p><strong>Our commitment to Diversity & Inclusion:</strong></p><br><p>We are an inclusive company and our ambition is to attract, recruit and promote diverse talent.</p><br><p><strong>Why work for Accor?</strong></p><br><p>We are far more than a worldwide leader. We welcome you as you are and you can find a job and brand that matches your personality. We support you to grow and learn every day, making sure that work brings purpose to your life, so that during your journey with us, you can continue to explore Accor’s limitless possibilities.<br>By joining Accor, every chapter of your story is yours to write and together we can imagine tomorrow's hospitality. Discover the life that awaits you at Accor, visit https://careers.accor.com/</p><br><p>Do what you love, care for the world; dare to challenge the status quo! #<strong>BELIMITLESS</strong></p><br> </div>
Confidential
Lebanon - Beirut
<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>
Aspire Software
Lebanon - Beirut
<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>
Valsoft Corporation
Lebanon
<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>