Machine operator Jobs

<p><h4>Job description<\/h4>\n<p>Poynter Sheet Metal is one of the largest sheet metal companies in the nation. Poynter stands by its mission that <strong>\u201cWe are driven to achieve excellence as leaders in the industry and community through continuous improvement.\u201d<\/strong><\/p>\n<p>Poynter\u2019s professionals understand the importance of delivering exceptional quality with unmatched professionalism no matter how big or small the project. As a company built on innovation, we are determined to continue to advance in the industry by working diligently to improve our workflows and educating our personnel to stay on top of industry best practices.<\/p>\n<p>As a full-service sheet metal manufacturing company, our projects range from ventilation and exhaust systems, dust collection and extraction systems, vent and fume hoods, to architectural wraps and cladding, tanks and pressure vessels, structural components, handrails, paint and spray booths, machine guarding, duct cleaning services, and custom fabrication.<\/p>\n\n<h4>Responsibilities<\/h4>\n<p>As a Safety Manager, your key responsibility will be to manage and enforce Poynter's Safety Program for the assigned project(s) by identifying, eliminating, and controlling hazardous conditions that may lead to injury and\/or property damage. By using and enforcing job-specific safety standards, best management practices, and Poynter's safety program, the Safety Manager shall ensure the safety of all persons and property on the job site resulting in an accident\/incident-free project.<\/p>\n\n<h4>Essential functions<\/h4>\n<ul>\n <li>Conduct weekly \"Toolbox Safety Meeting\" and document content and attendance.<\/li>\n <li>Conduct safety training for new employees.<\/li>\n <li>Advise project staff on site-specific safety issues and guidelines.<\/li>\n <li>Provide leadership on the project and build working relationships with project staff and subcontractor safety representatives to ensure proper compliance.<\/li>\n <li>Evaluate the need for safety training and make recommendations.<\/li>\n <li>Educate and advise project staff on safety guidelines and policies.<\/li>\n <li>Collaborate with foremen on means and methods for performing high-risk activities such as excavations, fall protection, heavy equipment, etc.<\/li>\n <li>Monitor lockout\/tagout (LOTO) and pipe testing procedures.<\/li>\n<\/ul>\n\n<h4>Jobsite<\/h4>\n<ul>\n <li>Enforce safe work practices and safe working conditions in accordance with all state, federal, and local regulations (including OSHA), as well as Poynter company policies and owner\/contractual requirements.<\/li>\n <li>Conduct daily and\/or weekly (as appropriate or specified by job) job site inspections.<\/li>\n <li>Attend owner meetings.<\/li>\n <li>Record observations from site inspections and complete required reports.<\/li>\n <li>Investigate, corroborate, and document all accidents, incidents, and near misses on the jobsite.<\/li>\n <li>Recommend and implement corrective action based on policies, guidelines, and laws.<\/li>\n <li>Complete site walks at least 3 to 4 times per day.<\/li>\n<\/ul>\n\n<h4>Key attributes<\/h4>\n<ul>\n <li>Comfortable at the table with all levels of leadership.<\/li>\n <li>Collaborator.<\/li>\n <li>Integrity.<\/li>\n <li>Organized and systematic.<\/li>\n <li>Excellent verbal and written communication skills.<\/li>\n <li>Commitment to excellence.<\/li>\n<\/ul>\n\n<h4>What it takes<\/h4>\n<ul>\n <li>7+ years' safety experience in construction or a similar industry.<\/li>\n <li>Thorough knowledge of construction methods and OSHA standards.<\/li>\n <li>OSHA 30 certification.<\/li>\n <li>Able to successfully solve difficult contract and contract-related technical problems requiring excellent judgment.<\/li>\n <li>Must want to be in the field, not behind a desk.<\/li>\n <li>Basic working knowledge of MS Office and Windows.<\/li>\n<\/ul>\n\n<h4>Benefits<\/h4>\n<p>Poynter offers a unique opportunity for the right person to experience a variety of project work. Working at Poynter Sheet Metal, you can expect:<\/p>\n<ul>\n <li>A competitive compensation package.<\/li>\n <li>A comprehensive benefits package including medical, dental, vision, and 401(k) match.<\/li>\n <li>Basic life insurance, short-term and long-term insurance paid for by Poynter.<\/li>\n <li>Discretionary yearly bonus program.<\/li>\n <li>A generous paid time off (PTO) bank.<\/li>\n<\/ul><\/p><p><\/p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Most design roles bury you in brand guidelines, logo revisions, and "can you make it pop" feedback loops.<br> This one strips all of that away.<br> You produce two things: paid ad creative that has to perform, and product images that have to sell.<br> In Arabic and English, natively, at speed.<br> Nothing else.<br> Our client is a growing online retail brand that runs on Meta campaigns and product pages that convert.<br> They're not looking for a portfolio artist.<br> They're looking for a commercial operator who can turn a written brief into a set of assets that move numbers, then do it again 24 hours later.<br> Why this role exists Creative is the bottleneck in e-commerce growth.<br> Every test needs fresh concepts, every product page needs images that make someone stop scrolling and buy.<br> When creative arrives late or off-brief, the test window closes, and the spend is wasted.<br> This role exists to keep that engine fed: multiple concepts per brief, variations for testing, delivered fast enough to matter.<br> Your work doesn't sit in a deck.<br> It goes live and gets measured.<br> What you'll own You'll produce static ad creative for Meta campaigns, not one execution per brief but multiple concepts, then variations of the winners: alternate visuals, headlines, layouts.<br> You'll build product image sets for e-commerce pages, retouched to production standard, using AI-generated scenes where photography doesn't exist.<br> And you'll deliver every asset in both Arabic and English, each version designed natively rather than translated, with editable source files every time.<br> This is volume work with a clear scoreboard.<br> When an ad wins, you'll know, and you'll get paid a bonus for it.<br> What's in it for you This is a real ladder, not a trial with an expiry date.<br> You start freelance and per-image.<br> Strong performers move to a retained part-time arrangement, and full-time is on the table for the right person.<br> It scales with the quality of your output, not with how long you stick around.<br> The terms are transparent from day one: $5–$8 USD per base image +$2 USD per variation $30 USD bonus per winning ad Paid biweekly You work fully remote from any Arabic-speaking country, with no fixed hours.<br> Work is measured in delivered assets against brief deadlines, not time logged.<br> Briefs come in writing, turnaround is 24–48 hours on weekdays, and finals plus source files go to a shared drive.<br> You raise questions before you start, not after you deliver.<br> Ready? If you're a designer who's tired of endless revision loops and wants your work judged on whether it performs, this is built for you.<br> Send your portfolio, your rate, and your capacity.<br> The best proof isn't a cover letter; it's the ads you've already made win.<br> You'll thrive here if You've produced real commercial output, not concept pieces.<br> Specifically, you've made product images for live e-commerce listings, static ads that actually ran in a paid Meta account (ideally ones that performed), and photorealistic AI imagery where you can name the model you used.<br> These three aren't nice-to-haves, they're the bar.<br> You'll be especially successful if you're fluent in both Arabic and English, spoken and written, and can typeset Arabic that reads natively, right-to-left, with type that was chosen not defaulted.<br> You read a brief and produce to it without a round of clarifying questions.<br> You're fast, because turnaround here beats polish.<br> You pick up brand rules after being shown once.<br> And you take feedback and apply it on the next round instead of defending the last one.<br> If your background is logos, packaging, print, or brand identity, this isn't your role, and that's fine.<br> It's just a different job.<br> How we'll evaluate you Shortlisted candidates complete a short trial task on a real brief, assessed on brief adherence, quality of the finished asset, turnaround, and how you handle the feedback round.<br> To get shortlisted, your portfolio needs to show the actual work: ads you produced that performed (with the brand named), product images from real e-commerce pages, AI samples with the model named, and confirmation of Arabic and English fluency.<br> Include your per-image rate expectation and weekly capacity.<br> A link with two pieces won't cut it, and general design work doesn't count.<br> We need enough relevant examples to judge the real thing.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>About Us</b></p><br><br><p><span><span>We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, </span><span>commercial</span><span> and industrial spaces through HVACR technologies. We protect <span><span><span><span><span><span><span><span><span>temperature-sensitive</span></span></span></span></span></span></span></span></span> goods throughout the cold chain. And we bring comfort to people globally. Best-in-class engineering, design and manufacturing combined with category-leading brands in compression, controls, </span><span>software</span><span> and monitoring solutions result in next-generation climate technology that is built for the needs of the world ahead. </span></span></p><br><br><p><span><span>Whether you are a professional looking for a career change, an undergraduate student exploring your first opportunity, or recent graduate with an advanced degree, we have opportunities that will allow you to innovate, be challenged and make an impact. Join our team and start your journey today!</span></span></p><br><br><p><b>Job Title: </b>HLMS (Hourly Lead Manufacturing Specialist)</p><br><p><b>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Salary Grade: </b>Hourly Grade 4</p><br><p><b>&nbsp;Dept</b>: HVACR AMER.US.Lebanon. Assembly</p><br><p><b>SUMMARY</b></p><br><p>This is a self-directed position that assists Team Leaders with line activities relating to employees, changeovers, scheduling, quality processes, maintenance support, training of team members, and overall support for maximum line productivity. Will perform work that utilizes robots in the manufacturing processes. The incumbent must have strong communication and interpersonal skills to effectively interact with others. Must have strong knowledge of production process to assist in coordinating team member activities. &nbsp;&nbsp;&nbsp;</p><br><p><b>ESSENTIAL DUTIES AND RESPONSIBILITIES </b>include the following. Other duties may be assigned.</p><br><ul><li>Ensures compliance with workplace policies and procedures, including health and safety culture, continuous improvement, federal &amp; state regulations, and 5S+1.</li><li>Assists team members for successful performance of all production processes, including in-process quality checks, pivoting to react to production issues, schedule/tooling changes, gauging, and calibrating equipment to eliminate and/or anticipate problems.</li><li>Supports Team Leader with supervision of employee productivity, facilitates training of new or new-to-role team members, directs the work of hourly team members.</li><li>Collaborates with Team Leader to deliver communications during whiteboard meetings or other methods, regarding workplace activities and plant-wide information/news.&nbsp;</li><li>Assist maintenance, engineering, and managers with tasks related to prototype activities, new product pilots, daily production needs, procedures, and/or continuous process improvements.</li><li>Working with quality auditors during line audits, evaluating daily rejects and scrap, troubleshooting for root cause of issues and drives process corrective actions.</li><li>Monitors performance of team members.&nbsp; Recommends recognition and/or performance/attendance corrective action as necessary to the Team Leader and/or Manager.</li><li>Gain working knowledge of robot pendant operation in order to support production needs or training of others. &nbsp;&nbsp;</li><li>Partners with Team Leader and/or Manager in executing line/department key performance metrics per established goals.</li><li>Evaluates daily workforce capabilities, identifying gaps in work force utilization, workspace requirements, workflow design, and equipment utilization for purpose of improving efficiencies.</li></ul><p><b>QUALIFICATIONS:&nbsp; </b>To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. &nbsp;</p><br><p><b>ELIGIBILITY REQUIREMENTS FOR INTERNAL CANDIDATES:</b> Equivalent experience gained as a Copeland Floor Support Tech, Manufacturing Specialist, or highly experienced Copeland Line 8 operator. No documented issues on performance or issues that are disruptive to work operations within the last 6 months.&nbsp;</p><br><p><b>PREFERRED EDUCATION and/or EXPERIENCE:</b></p><br><p>The preferred HLMS candidate would have a minimum of one (1) year of experience in related competencies in a manufacturing environment. Proficient knowledge of Work Panel View and SPC charts. Strong computer skills using Microsoft Office software. Strong analytical and problem- solving skills.</p><br><p><b>REQUIRED EDUCATION and/or EXPERIENCE:</b></p><br><p>Associate degree or certification in related discipline required.</p><br><p>At least two years of manufacturing related experience.</p><br><p><b>CRITICAL SKILLS</b></p><br><p>Basic math skills to add, subtract, multiply, divide and calculate simple percentages. Basic computer skills with working knowledge of Microsoft Office (Word and Excel). Excellent organizational skills, attention to detail, time management skills, with the ability to meet deadlines. Excellent verbal/written communication skills, with proven ability to clearly communicate with all levels of organization effectively.</p><br><p><b>PHYSICAL DEMANDS:</b></p><br><p>Ability to stand on hard surfaces for extended periods while performing functions of the job. While performing the duties of this job, the employee is frequently required to stand; walk; reach overhead with hands and arms; grasp; stoop; kneel; and/or crouch. Must meet job standards for visual ability, speaking, and hearing in a manufacturing environment.&nbsp; Employee must occasionally lift and/or move up to 50 pounds.&nbsp; Environmental conditions include flashing lights on machines and Powered Industrial Vehicles, random noises such as horns and alarms.</p><br><p>The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p><br><p><span><b>Copeland LP is an equal opportunity employer</b>. It will not discriminate against any applicant or employee on the basis of race, sex, religion, age, national origin, color, disability, veteran status, or genetic information. We are committed to providing a workplace free of any discrimination or harassment.</span></p><br><p><b><span>Our Commitment to Our People</span></b></p><br><br><p><span><span>Across the globe, we are united by a singular Purpose: Sustainability is no small ambition. </span><span>That’s</span><span> why everything we do is geared toward a sustainable future—for our generation and all those to come. Through groundbreaking innovations, HVACR technology and cold chain solutions, we are reducing carbon emissions and improving energy efficiency in spaces of all sizes, from residential to commercial to industrial.</span></span></p><br><br><p><span><span>Our employees are our greatest strength. We believe that our culture of passion, openness, and collaboration empowers us to work toward the same goal - to make the world a better place. We invest in the end-to-end development of our people, beginning at onboarding and through senior leadership, so they can thrive personally and professionally.</span></span></p><br><br><p><span><span>Flexible and competitive benefits plans offer the right options to meet your individual/family needs: medical insurance plans, dental and vision coverage, 401(k) and more. We provide employees with flexible time off plans, including paid parental leave, vacation and holiday leave. </span></span></p><br><br><p><span><span>Together, we have the opportunity – and the power – to continue to revolutionize the technology behind air conditioning, </span><span>heating</span><span> and refrigeration, and cultivate a better future. Learn more about us and how you can join our team!</span></span></p><br><br><p><b>Our Commitment to Inclusion &amp; Belonging</b></p><br><p>At Copeland, we cultivate a strong sense of inclusion and belonging where individuals of all backgrounds, and with diverse perspectives, are embraced and treated fairly to enable a stronger workforce.&nbsp; Our employee resource groups play an important role in culture and community building at Copeland.</p><br><br><p><b><span>Work Authorization</span></b></p><br><br><p><span><span>Copeland will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1 with OPT or CPT, H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.</span></span></p><br><br><p><b><span>Equal Opportunity Employer</span></b></p><br><br><p><span><span>Copeland is an Equal <span><span><span><span><span>Opportunity/Affirmative</span></span></span></span></span> Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.</span></span></p><br><br><p><span><span>If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: copeland.careers@copeland.com</span></span></p><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><br>Summary:<br>As a Telephone Operator, you will be responsible for managing incoming and outgoing calls in a professional and efficient manner. You will serve as the first point of contact for customers, directing their calls to the appropriate department or individual.<br><br>Job Responsibility:<br>- Answer incoming calls and direct them to the appropriate department or individual<br>- Make outgoing calls for various purposes such as scheduling appointments or relaying messages<br>- Maintain a polite and professional telephone manner at all times<br>- Handle customer inquiries and provide basic information about the company or services<br>- Keep accurate records of all calls and messages received and relayed<br><br>Candidate Requirements:<br>- Proven experience as a Telephone Operator or similar role<br>- Excellent communication skills, both verbal and written<br>- Strong customer service skills<br>- Ability to multitask and stay organized in a fast-paced environment<br>- Proficiency in using telephone systems and office equipment</p> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b><span>Our Opportunity</span></b> <br><br>We are seeking a talented AI Engineer to join our team. You will be responsible for applying the latest techniques to build and deploy enterprise machine learning models across multiple domains. As a highly capable Research and Development Engineer, you will be passionate about data science and machine learning and driven to make an impact.<br><br><b><span>To Be Successful in The Role You Will Need</span></b><br><br>To possess many but not necessarily all the below:<br><br></span><ul><li><span>A master’s degree in a STEM subject or equivalent practical experience.<br></span></li><li><span>3+ years of industrial experience in the areas of machine learning, computer vision, natural language processing, or data mining.<br></span></li><li><span>Fluency in Python development, backed by practical experience using machine learning libraries like pandas, PySpark, NumPy, SciPy, scikit-learn, Keras, PyTorch, TensorFlow, or equivalent.<br></span></li><li><span>Hands-on experience with advanced NLP techniques such as BERT, transformers, and others.<br></span></li><li><span>Proficiency in using modern search libraries (preferably Elasticsearch).<br></span></li><li><span>Technical experience in deploying cloud-native solutions (AWS, Azure, GCP).<br></span></li><li><span>Practical experience in MLOps with a proven record of maintaining and supporting your models in production environments.<br></span></li><li><span>A demonstrated ability to exercise technical judgment in solving complex challenges.<br></span></li><li><span>Ability to function as an influential member of a highly integrated team composed of both technical and non-technical members.<br></span></li></ul>Siren is an equal opportunity employer. At Siren we value ethics, dedication, sustainability, safeguarding, respect, and inclusion. <br><br>Are you interested to work with our dedicated team on impactful projects? We welcome applications from all qualified candidates, regardless of background. Do apply!<br><br><br><br> </div>

Duties & Responsibilities <br>• Daily inspection and reporting of production departments. <br>• Distribute and receive orders from and to the departments regarding machines and their parts. <br>• Final inspection on the quality of the finished machines according to the type of machine delivered. <br>• Update manufacturing system according to actual plant work. <br>• Discuss production work and priorities with the production manager, and communicate them with concerned departments. <br>• Verify all required documents, and maps for the finished machines before packing them for shipment and deliver them to the warehouse. <br>• Coordinate and resolve with the production manager plant and production problems. <br>• Conduct departments and iron inventories, and report it to the appropriate people for necessary action. <br>• Update machines production progress on company’s software. <br>Competencies <br>• Management Skills <br>• Time Management <br>Education & Experience <br>• Masters in Mechanical or Electro-Mechanical Engineering <br>• 2-3 Years of Experience <br>Language Skills <br>• Fluent in Arabic and English (French is a plus) <br>Computer Skills <br>• Microsoft Office (Excel, Word, Access) <br>• AutoCAD, Autodesk knowledge

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b><span>Our Opportunity</span></b> <br><br>We are seeking a talented AI Engineer to join our team. You will be responsible for applying the latest techniques to build and deploy enterprise machine learning models across multiple domains. As a highly capable Research and Development Engineer, you will be passionate about data science and machine learning and driven to make an impact.<br><br><b><span>To Be Successful in The Role You Will Need</span></b><br><br>To possess many but not necessarily all the below:<br><br></span><ul><li><span>A master’s degree in a STEM subject or equivalent practical experience.<br></span></li><li><span>3+ years of industrial experience in the areas of machine learning, computer vision, natural language processing, or data mining.<br></span></li><li><span>Fluency in Python development, backed by practical experience using machine learning libraries like pandas, PySpark, NumPy, SciPy, scikit-learn, Keras, PyTorch, TensorFlow, or equivalent.<br></span></li><li><span>Hands-on experience with advanced NLP techniques such as BERT, transformers, and others.<br></span></li><li><span>Proficiency in using modern search libraries (preferably Elasticsearch).<br></span></li><li><span>Technical experience in deploying cloud-native solutions (AWS, Azure, GCP).<br></span></li><li><span>Practical experience in MLOps with a proven record of maintaining and supporting your models in production environments.<br></span></li><li><span>A demonstrated ability to exercise technical judgment in solving complex challenges.<br></span></li><li><span>Ability to function as an influential member of a highly integrated team composed of both technical and non-technical members.<br></span></li></ul>Siren is an equal opportunity employer. At Siren we value ethics, dedication, sustainability, safeguarding, respect, and inclusion. <br><br>Are you interested to work with our dedicated team on impactful projects? We welcome applications from all qualified candidates, regardless of background. Do apply!<br><br><br><br> </div>

A well-known company in Jounieh is seeking a maintenance assistant who can fix and repair machine and has experience as mechanical engineer

<p><h4>Benefits:</h4> <p><strong>401(k)</strong><br> <strong>401(k) matching</strong><br> <strong>Dental insurance</strong><br> <strong>Health insurance</strong><br> <strong>Paid time off</strong></p> <h4>About the company</h4> <p>IBC Group is an industrial solutions provider specializing in advanced metal coatings, component repair, and performance engineering. We partner with manufacturers to extend the life of critical equipment, improve performance, and solve challenges related to wear, corrosion, and durability. Our capabilities include a wide range of thermal spray and performance coating technologies, supported by metallurgical expertise to ensure solutions meet demanding specifications. From restoring worn components to enhancing new parts, our work helps customers reduce downtime and improve reliability across a variety of industries. IBC Group operates focused on leveraging advanced surface engineering solutions globally.</p> <p>IBC Group is an equal opportunity employer. Full-time employees qualify for additional benefits like medical, vision, and dental insurance, paid time off (i.e. vacation), and retirement savings options.</p> <h4>Position summary</h4> <p>We are seeking an experienced Thermal Spray Process Engineer to support and improve thermal spray coating operations in a manufacturing environment. This position is responsible for process development, production support, process documentation, quality improvement, troubleshooting, customer support, and continuous improvement initiatives related to thermal spray technologies.</p> <p>The ideal candidate will have strong hands-on and technical experience with multiple thermal spray processes, including HVOF, Plasma Spray, Flame Spray, and Twin-Wire Arc Spray systems. Crucially, this individual must possess the ability to lead end-to-end technical projects related to component parts repair orchestrating everything from pre-machining and surface prep to thermal spray application and final post-machining operations (including precision grinding). This role works closely with production, customers, and leadership to ensure coating performance, operational efficiency, and compliance with customer and industry requirements.</p> <p>Due to ITAR and customer compliance requirements, candidates must be either a U.S. or U.S. Permanent (Green Card Holder).</p> <h4>Essential duties and responsibilities</h4> <ul> <li>Process development: Develop, optimize, and maintain thermal spray coating processes for production and new customer applications.</li> <li>Technical expertise: Provide core technical expertise for HVOF (High Velocity Oxygen Fuel), Plasma Spray, Flame Spray, and Twin-Wire Arc Spray systems.</li> <li>Project leadership & parts repair: Lead comprehensive technical projects focused on industrial parts repair, successfully managing the full sequence of operational steps including necessary pre-machining, thermal spray coating, and precision post-machining/grinding.</li> <li>Troubleshooting: Troubleshoot coating, equipment, and process issues to improve quality, repeatability, and throughput.</li> <li>Contract review: Perform daily contract review on incoming jobs, creating precise process instructions in the ERP system for production staff to follow.</li> <li>Production support: Support production teams with process parameters, work instructions, operator training, and process controls, taking a primarily hands-on approach.</li> <li>Tooling & design: Design fixturing and masking for customer parts as needed.</li> <li>Technical documentation: Read, interpret, and create blueprints, technical drawings, schematics, and computer-generated reports.</li> <li>Metallurgical analysis: Perform coating evaluations, root cause investigations, and metallurgical analysis to identify process improvements and resolve customer issues.</li> <li>Capital improvements: Assist with equipment evaluations, maintenance coordination, and capital improvement projects.</li> <li>Customer interface: Serve as the primary technical resource for customers regarding coating selection, process capabilities, feasibility assessments, and root cause investigations.</li> <li>Quality compliance: Follow all AS9100/ISO 9001 standards, internal quality policies, OSHA safety regulations, and company safety policies.</li> <li>General assignments: Complete additional assignments and projects as prescribed by your supervisor.</li> </ul> <h4>Job requirements</h4> <ul> <li>Citizenship: Must be a U.S./Green Card holder. Sponsorship is not provided for this position.</li> <li>Education: Bachelor's degree in Materials Engineering, Metallurgical Engineering, Mechanical Engineering, Manufacturing Engineering, or a related engineering discipline is required.</li> <li>Experience: A minimum of 5 years of engineering experience in thermal spray or related coatings technologies is required.</li> <li>Technology competency: Demonstrated hands-on experience with HVOF, Plasma Spray, Flame Spray, and Twin-Wire Arc Spray operations.</li> <li>Equipment know-how: Experience operating, troubleshooting, and optimizing industrial thermal spray equipment is strongly recommended.</li> <li>Manufacturing process depth: Strong understanding of coating properties, metallurgy, surface preparation, masking, and crucial finishing operations (including pre- and post-coat machining and grinding tolerances).</li> <li>Problem solving: Proven experience troubleshooting thermal spray processes and complex coating quality issues.</li> <li>Software: Solidworks or equivalent 3-D modeling software experience is required.</li> <li>Leadership & communication: Strong communication skills with a proven ability to train operators, lead technical projects cross-functionally, and collaborate across departments.</li> <li>Organization: Must have excellent organizational and project management skills.</li> <li>Software proficiency: Must be proficient in Microsoft Office software.</li> <li>Physical demands: Ability to work in a manufacturing environment with exposure to noise, heat, dust, and industrial equipment. Ability to stand, walk, bend, and lift up to 50 pounds occasionally.</li> <li>PPE: Ability to wear required PPE, including respirators, eye, and hearing protection when necessary.</li> <li>Screening: All employment at IBC Group is conditional upon results from a background check and drug test.</li> </ul></p><p></p>

<p>We are looking for a highly skilled AI Engineer with 2 to 5 years of experience to design, develop, and deploy cutting-edge AI and machine learning solutions.<br>In this role, you will work with large datasets, build intelligent models, and drive innovation by leveraging advanced AI techniques.<br>You will collaborate with cross-functional teams to integrate AI capabilities into business applications, ensuring scalability, efficiency, and real-world impact.<br>If you have a strong foundation in machine learning, deep learning, and AI-driven problem-solving, and you're eager to push the boundaries of technology, we want to hear from you.</p><p><strong>Job Responsibilities:</strong></p><ul><li>Develop, train, and deploy machine learning models to solve business challenges.</li><li>Work with large datasets to extract insights, clean, and preprocess data.</li><li>Optimize model performance, accuracy, and efficiency.</li><li>Design and implement AI algorithms for task, computer vision, or predictive analytics.</li><li>Collaborate with data scientists, software engineers, and business stakeholders to integrate AI solutions.</li><li>Stay up to date with the latest advancements in AI/ML and apply innovative techniques.</li><li>Ensure scalability and efficiency of AI solutions in production environments.</li><li>Troubleshoot and fine-tune models for performance improvement.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Required Qualifications &amp; Skills:</strong></p><ul><li>Education: Bachelor s degree in computer science, AI, Data Science, Data Analytics or a related field.</li><li>Experience: 2-5 years of hands-on experience in AI/ML development, power BI, copilot studio, generative AI, and AI agent</li><li>Proficiency in Python, experience with large datasets, data preprocessing, and feature engineering.</li><li>AI Specialization: Strong understanding of deep learning</li><li>Problem-Solving: Ability to analyse complex problems and implement AI-driven solutions.</li><li>Strong communication skills to work effectively with cross-functional teams.</li></ul>

<p><br></p><p>As Proximie continues to turn every activity and event in the operating room into comprehensive, structured, and context-rich data that drives better insights and decision making, you will be the engineer who makes that intelligence dependable at scale. Using your deep technical expertise and real-world production experience, you will own the platform and the infrastructure that carry our machine learning solutions out of development and into hundreds of live hospitals, and keep them performing once they are there. Our machine learning engineers own the models. You own everything that gets those models in front of a customer and keeps them running: the training and deployment infrastructure on AWS and SageMaker, reproducible and configuration-driven training runs, environments defined in code, release pipelines that make a deployment routine rather than an event, and the monitoring that tells us when a model's behaviour shifts in a theatre on the other side of the world. You will make the difference between a solution that works and a solution a hospital can depend on. This is a commercial team, and the work is grounded in real operational problems rather than internal roadmaps. The role demands precision, judgement and a deep understanding of how machine learning behaves in production, at scale, in environments that do not forgive downtime. If you are excited by complex problems with life-changing impact and want to build the systems that get technology like this into the most critical environments in healthcare, we would love to hear from you.</p><p><strong>Job Responsibilities</strong></p><ul><li>Take models built by the machine learning engineers / scientists and turn them into production services that meet our latency, cost and reliability targets.</li><li>Build and maintain SageMaker training, processing and inference workloads, and the pipelines that orchestrate them.</li><li>Make training runs reproducible and configuration-driven, so any result can be rebuilt from code.</li><li>Build monitoring for model performance, data drift and system health, and make sure the right people are alerted when something moves.</li><li>Ship infrastructure through code review rather than the console, using Terraform and a proper pull-request workflow.</li><li>Document what you build and raise the engineering standard around you.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Expert Python, with deep hands-on PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, OpenCV.</li><li>Production experience on AWS, specifically Amazon SageMaker: training and processing jobs, pipelines, model registry, endpoints.</li><li>Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible, configuration-driven training runs.</li><li>Containerisation and infrastructure as code: Docker and CUDA-based GPU images, plus enough Terraform to ship your own model to an environment through code review rather than a console.</li><li>Strong software engineering fundamentals: Git and pull-request workflow, automated testing, CI/CD.</li><li>Able to explain technical trade-offs clearly to people who are not engineers.</li><li><strong>Desirable</strong></li><li>Event-driven and streaming architectures on AWS: Step Functions, Lambda, Kinesis, ECS, DynamoDB.</li><li>Model monitoring in production: inference logging and drift detection.</li><li>Exposure to healthcare, medical devices or another regulated industry.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Purpose: As a Tinting Specialist, you will prepare and tint paint in quarts, gallons, and drums while ensuring quality control prior to release.</p><p>Key Accountabilities:</p><ul><li>Operate Colortek tinting and mixing machines efficiently.</li><li>Retrieve paint bases from the warehouse.</li><li>Select the appropriate paint base and universal pigments to achieve the desired final color.</li><li>Dispense colorant into cans and operate tinting machines.</li><li>Implement quality control measures to ensure the final tinted paint matches the desired color and meets customer expectations.</li><li>Check color accuracy after mixing the paint in the shaker for at least three minutes.</li><li>Provide timely service and quick responses to the delivery counter.</li><li>Ensure customers have an enjoyable experience when interacting with the tinting service.</li><li>Handle hazardous materials carefully and adhere to safety protocols.</li><li>Ensuring proper maintenance of tinting machines for optimal functioning</li><li>Maintain a clean, neat, and organized tinting area.</li><li>Work toward achieving the monthly tinting and sales targets.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>High School Degree or equivalent.</li><li>Ability to read and write Arabic and English.</li><li>Ability to use computers.</li><li>Ability to lift and stack processed paints on mixing trays and storage pallets or manually.</li><li>Ability to communicate effectively with coworkers.</li><li>Ability to read and follow work orders.</li><li>Sensitive to color, able to see/differentiate color and efficient in color adjustments (must pass eye color test).</li><li>Able to color match in the given time frame.</li><li>Experience involving production operations or the use of basic tinting equipment is a plus.</li><li>Ability to operate paint dispensers, tint machine and mixer is a plus.</li></ul><p></p></section>

Job Purpose: As a Tinting Specialist, you will prepare and tint paint in quarts, gallons, and drums while ensuring quality control prior to release. <br>Key Accountabilities: <br>- Operate Colortek tinting and mixing machines efficiently. <br>- Retrieve paint bases from the warehouse. <br>- Select the appropriate paint base and universal pigments to achieve the desired final color. <br>- Dispense colorant into cans and operate tinting machines. <br>- Implement quality control measures to ensure the final tinted paint matches the desired color and meets customer expectations. <br>- Check color accuracy after mixing the paint in the shaker for at least three minutes. <br>- Provide timely service and quick responses to the delivery counter. <br>- Ensure customers have an enjoyable experience when interacting with the tinting service. <br>- Handle hazardous materials carefully and adhere to safety protocols. <br>- Ensuring proper maintenance of tinting machines for optimal functioning <br>- Maintain a clean, neat, and organized tinting area. <br>- Work toward achieving the monthly tinting and sales targets. <br> <br>Skills, Knowledge and Experience required: <br>- High School Degree or equivalent. <br>- Ability to read and write Arabic and English. <br>- Ability to use computers. <br>- Ability to lift and stack processed paints on mixing trays and storage pallets or manually. <br>- Ability to communicate effectively with coworkers. <br>- Ability to read and follow work orders. <br>- Sensitive to color, able to see/differentiate color and efficient in color adjustments (must pass eye color test). <br>- Able to color match in the given time frame. <br>- Experience involving production operations or the use of basic tinting equipment is a plus. <br>- Ability to operate paint dispensers, tint machine and mixer is a plus

Operate production machinery and equipment safely. <br>Assemble and pack products according to company standards. <br>Inspect products for quality and report any defects. <br>Follow production schedules and meet daily targets. <br>Maintain cleanliness and organization of the work area. <br>Follow health, safety, and hygiene procedures at all times. <br>Load, unload, and move materials as required. <br>Report machine malfunctions or maintenance needs to the supervisor. <br>Assist with inventory and stock handling when needed. <br>Work effectively as part of a team and follow supervisors' instructions

requirements: <br> <br>At least 4+ years of practical experience developing and implementing data approaches such as advanced analytics and Machine Learning. <br>Proficient in Python and SQL (PySpark and programming languages such as Java are a plus) <br>Knowledgeable in Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameters optimization and others. <br>Experience in developing models for production and business application use. <br>Knowledgeable in /or experience with Fintech/banking industry is a big plus. <br>Basic knowledge in data engineering and ML model lifecycle. <br>Strong business acumen in the financial sector (i.e., payments, acquiring, financial crime…) <br>Highly motivated and like to work in a team and with advanced technologies in challenging environments. <br>Excellent Communication Skills /English. <br>Good Analytical Skills. <br>Ability to communicate technical tasks to non-technical people. <br>Ability to work in an agile environment and be a quick learner. <br>Willing to relocate. <br>Bachelor’s degree in computer science, Computer Engineering, Information Technology or Mathematics

Job Summary: <br>We are looking for a highly skilled AI Engineer with 2 to 5 years of experience to design, develop, and deploy cutting-edge AI and machine learning solutions. <br>In this role, you will work with large datasets, build intelligent models, and drive innovation by leveraging advanced AI techniques. <br>You will collaborate with cross-functional teams to integrate AI capabilities into business applications, ensuring scalability, efficiency, and real-world impact. <br>If you have a strong foundation in machine learning, deep learning, and AI-driven problem-solving, and you're eager to push the boundaries of technology, we want to hear from you. <br>Job Responsibilities: <br>• Develop, train, and deploy machine learning models to solve business challenges. <br>• Work with large datasets to extract insights, clean, and preprocess data. <br>• Optimize model performance, accuracy, and efficiency. <br>• Design and implement AI algorithms for task, computer vision, or predictive analytics. <br>• Collaborate with data scientists, software engineers, and business stakeholders to integrate AI solutions. <br>• Stay up to date with the latest advancements in AI/ML and apply innovative techniques. <br>• Ensure scalability and efficiency of AI solutions in production environments. <br>• Troubleshoot and fine-tune models for performance improvement. <br>Required Qualifications & Skills: <br>• Education: Bachelor’s degree in computer science, AI, Data Science, Data Analytics or a related field. <br>• Experience: 2-5 years of hands-on experience in AI/ML development, power BI, copilot studio, generative AI, and AI agent <br>• Proficiency in Python, experience with large datasets, data preprocessing, and feature engineering. <br>• AI Specialization: Strong understanding of deep learning <br>• Problem-Solving: Ability to analyse complex problems and implement AI-driven solutions. <br>• Strong communication skills to work effectively with cross-functional teams

Job Summary: <br>The Technician team member ensures the gym facilities, equipment, and utilities are fully functional, safe, and well-maintained. This role involves carrying out repairs, preventive maintenance, and responding quickly to urgent technical issues. By keeping the gym’s environment well-maintained, safe, and reliable, the Technician Team contributes directly to the overall member experience and operational efficiency. <br>I. Duties and Responsibilities: <br>1. General Repairs and Maintenance <br>• Perform routine inspections of gym equipment, lighting, and electrical systems (Checklist) <br>• Carry out minor repairs, adjustments, and installations as needed for machines, and facilities & infrastructure. <br>• Report major issues or recurring faults to the Management. <br>• Assemble new machines where applicable in the workplace. <br>2. Preventive Maintenance <br>• Follow the scheduled maintenance plan to minimize equipment downtime. <br>• Lubricate, tighten, and test gym machines and utilities regularly. <br>• Record all performed tasks in the maintenance logbook. <br>• Assist in setting up safety signage during repair works. <br>3. Facility Upkeep <br>• Support the safety of the gym areas, including locker rooms, showers, and training spaces. <br>• Assist in moving, assembling, or installing gym equipment and furniture in the club. <br>• Respond promptly to facility-related complaints or urgent repair needs from staff or members. <br>• Support the manager when receiving new machine related shipments <br>4. Safety and Compliance <br>• Ensure maintenance work complies with health and safety standards. <br>• Wear protective gear and follow safe handling procedures when using tools and chemicals. <br>• Report hazards, accidents, or unsafe conditions immediately. <br>• Participate in safety training and emergency drills. <br>• Organize the new machine related shipments in the stock <br>II. Required Competencies: <br>• Technical Skills: Basic knowledge of electrical, plumbing, mechanical, and carpentry work. <br>• Reliability: Consistent follow-through on tasks and responsiveness to urgent needs. <br>• Problem-Solving: Ability to identify issues and apply practical solutions quickly. <br>• Teamwork: Work effectively with other staff, trainers, and management to support smooth operations. <br>• Attention to Detail: Spotting issues before they escalate into larger problems. <br>• Customer Awareness: Understanding that members’ safety and comfort depend on maintenance quality. <br>• Adaptability: Flexibility to switch between tasks and handle unexpected breakdowns. <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

<p>The world is currently experiencing the Fourth Industrial Revolution, where Machine Learning, Artificial Intelligence, and automation of activities are the key drivers of this revolution. This revolution will inevitably eliminate many current lines of work yet can bring in new lines of employment. ESCWA's Future of work initiative is expected to provide a forum for ESCWA countries to prepare for the Fourth Industrial Revolution (FIR) jobs while factoring in the number of jobs needed between now and the attainment of the 2030 Agenda. The key aim is to support member States for the upcoming change in employment and skills due to technological advancements. Ultimately, ESCWA will help member states harness job opportunities emerging from the advent of newer technologies while taming challenges. ESCWA skills monitor is part of ESCWA's initiative on the Future of Work that uses Machine Learning and Artificial Intelligence to assess the demand for skills and jobs in the Arab region. Even though AI is very powerful, it still requires significant human intervention to be helpful. In most cases, AI models might be fit for the data that they only have been trained on, where human intervention is required to detect higher accuracy. This was evident, especially during unprecedented events such as the COVID-19 pandemic.</p><p>The individual contractor will be responsible for the following tasks:</p><ul><li>Assist in checking accuracy of how Machine Learning is capturing Occupation classification.</li><li>Assist in checking accuracy of skills for almost ISCO jobs.</li><li>Assist in checking accuracy of how regular expression (Reg-X) models are capturing different features from text.</li><li>Assist in conducting data analysis using data from the ESCWA Skills Monitor.</li><li>Assist in meeting, workshops and mission preparations including administrative activities.</li><li>Help in all Ad hock activities related to labor market policies and private sector development.</li></ul><p><strong>Desired Candidate Profile</strong></p>A High school Diploma is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 2 years of experience in data manipulation data analysis, presentation, drafting and data visualization is required. Proven experience in successfully working with a team is required. Familiarity with Microsoft Suite is required. English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English and Arabic is required. Note: Fluency equals a rating of fluent in all four areas (speak, read, write, and understand) and Knowledge of equals a rating of confident in two of the four areas.

<p>The world is currently experiencing the Fourth Industrial Revolution, where Machine Learning, Artificial Intelligence, and automation of activities are the key drivers of this revolution. This revolution will inevitably eliminate many current lines of work yet can bring in new lines of employment. ESCWA's Future of work initiative is expected to provide a forum for ESCWA countries to prepare for the Fourth Industrial Revolution (FIR) jobs while factoring in the number of jobs needed between now and the attainment of the 2030 Agenda. The key aim is to support member States for the upcoming change in employment and skills due to technological advancements. Ultimately, ESCWA will help member states harness job opportunities emerging from the advent of newer technologies while taming challenges. ESCWA skills monitor is part of ESCWA's initiative on the Future of Work that uses Machine Learning and Artificial Intelligence to assess the demand for skills and jobs in the Arab region. Even though AI is very powerful, it still requires significant human intervention to be helpful. In most cases, AI models might be fit for the data that they only have been trained on, where human intervention is required to detect higher accuracy. This was evident, especially during unprecedented events such as the COVID-19 pandemic.</p><p>The individual contractor will be responsible for the following tasks:</p><ul><li>Assist in checking accuracy of how Machine Learning is capturing Occupation classification.</li><li>Assist in checking accuracy of skills for almost ISCO jobs.</li><li>Assist in checking accuracy of how regular expression (Reg-X) models are capturing different features from text.</li><li>Assist in conducting data analysis using data from the ESCWA Skills Monitor.</li><li>Assist in meeting, workshops and mission preparations including administrative activities.</li><li>Help in all Ad hock activities related to labor market policies and private sector development.</li></ul><p><strong>Desired Candidate Profile</strong></p>A High school Diploma is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 2 years of experience in data manipulation data analysis, presentation, drafting and data visualization is required. Proven experience in successfully working with a team is required. Familiarity with Microsoft Suite is required. English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English and Arabic is required. Note: Fluency equals a rating of fluent in all four areas (speak, read, write, and understand) and Knowledge of equals a rating of confident in two of the four areas.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a strategic, adaptable, and highly technical AI Lead to drive the design, architecture, and deployment of enterprise-grade AI solutions. The role bridges business objectives and deep technical execution, taking ownership of end-to-end AI initiatives while leading cross-functional teams and building scalable, production-ready systems in a dynamic environment.<br><br><br>The Key Responsibilities are:<br><br></span><ul><li>Strategic Roadmap Execution: Partner closely with Product leadership to translate complex business KPIs into concrete, actionable technical roadmaps.<br></li><li>Stakeholder Coordination: Act as the primary technical point of contact, organizing cross-functional alignments and managing seamless communication across diverse business stakeholders.<br></li><li>Team Mentorship: Direct and mentor cross-functional engineering and AI talent, establishing best practices across the machine learning lifecycle and fostering a culture of rapid experimentation.<br></li><li>Process Optimization: Establish organizational frameworks to navigate early-stage or unstandardized technical environments, turning ambiguity into structured, scalable engineering workflows.<br></li><li>Agentic AI Ecosystems: Direct the architecture and end-to-end development of custom Agentic AI ecosystems tailored for operational and executive workflows.<br></li><li>Advanced Orchestration: Implement advanced reasoning and decision-support systems, utilizing various orchestration frameworks to progress solutions from simple data retrieval to autonomous task execution.<br></li><li>Predictive &amp; Generative Modeling: Oversee the execution of high-performing models, including predictive forecasting architectures, Natural Language Processing (NLP), and Large Language Model (LLM) RAG infrastructures.<br></li><li>AI Democratization: Advocate for and deploy self-service AI and analytics tools (such as AWS Q or QuickSight) to empower non-technical teams, successfully mitigating data engineering bottlenecks.<br></li><li>End-to-End Lifecycle Management: Design, establish, and maintain standardized DataOps and MLOps production pipelines to streamline the machine learning lifecycle.<br></li><li>CI/CD/CT Automation: Formulate clear standards for continuous integration, continuous deployment, and automated retraining pipelines to accelerate experiment-to-deployment cycles while ensuring absolute reproducibility.<br></li><li>Cloud Architecture: Architect scalable, secure, and production-ready applications, primarily leveraging cloud ecosystems.<br></li></ul><br><br><span>Requirements</span><ul><li>A Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Data Science, or a related quantitative engineering field is required.<br></li><li>Minimum 8+ years of professional experience in machine learning, AI engineering, or related domains, including leadership experience.<br></li><li>Startup &amp; Immature Environment Exposure: Proven experience navigating an unstandardized or early-stage technical ecosystem, with a demonstrated ability to establish structure and drive operational maturity.<br></li><li>Leadership Experience: A robust background in technical leadership, team management, or directing cross-functional engineering pods.<br></li><li>Strong Coordination Skills: Exceptional organizational capabilities with a track record of coordinating and aligning priorities between business owners and technical teams.<br></li><li>ML &amp; MLOps Lifecycle Architecture: Deep expertise in core Machine Learning modeling and the end-to-end MLOps lifecycle, including CI/CD/CT pipelines and production deployment.<br></li><li>Predictive Modeling &amp; Statistical Inference: Advanced experience deploying classical machine learning architectures, including tree-based ensembles (e.g., XGBoost, Random Forest) for large-scale classification, regression, and predictive tasks.<br></li><li>Agentic Systems &amp; Vector Search: Hands-on experience designing agentic workflows using orchestration frameworks such as Amazon AgentCore and managing vector datasets with Amazon OpenSearch.<br></li><li>Enterprise Analytics &amp; Data Democratization: Strong experience leveraging BI tools such as Amazon QuickSight to enable self-service analytics across business functions.<br></li><li>Production Reliability &amp; Observability: Experience implementing production-grade monitoring, observability, and debugging tools (e.g., DataDog) for system uptime and data drift detection.<br></li><li>Cloud Infrastructure (AWS-Centric): Strong architectural knowledge of AWS ecosystems, with additional exposure to multi-cloud environments such as Microsoft Azure considered a plus.<br></li><li>Production Engineering Foundations: Solid experience building production-grade systems, including scalable data ingestion, containerization (Docker), and database engineering across SQL and NoSQL systems.<br></li><li>Work Schedule: Standard working hours aligned with business needs in Lebanon.<br></li><li>Excellent English communication skills.<br></li></ul><br><br> </div>