Machine operator Jobs

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Role Overview <p>We are seeking a Senior Robotics Engineer to lead the development of advanced visual localization solutions for autonomous driving and robotics applications. The primary focus of this role is to design and implement robust map-based localization systems that enable accurate vehicle positioning in complex urban environments.</p><br><br> <p>The successful candidate will be responsible for developing localization frameworks that align live semantic observations with High-Definition (HD) maps, leveraging modern optimization techniques and state-of-the-art machine learning approaches. Working closely with perception, navigation, and control teams, you will help deliver highly accurate and reliable localization capabilities to support autonomous operations.</p><br><br> Key Responsibilities <ul> <li>Design and implement algorithms that align live semantic detections, such as lane markings, stop lines, road boundaries, and traffic-related features, with vectorized HD map layers in formats such as Lanelet2 and OpenDRIVE. </li><li>Develop localization modules that utilize Bird's Eye View (BEV) feature representations to perform spatial associations and estimate vehicle pose with high accuracy. </li><li>Implement and optimize differentiable pose estimation solvers and neural matching approaches to enhance or replace traditional association and filtering methods. </li><li>Design and develop robust camera-based SLAM and Visual-Inertial Odometry (VIO) solutions for urban and structured environments. </li><li>Integrate localization functionality with navigation, planning, and vehicle control systems. </li><li>Collaborate with multidisciplinary teams to ensure seamless deployment of localization software within larger autonomous systems. </li><li>Research, evaluate, and implement state-of-the-art techniques in visual localization, mapping, state estimation, and machine learning. </li><li>Contribute to the continuous improvement of software architecture, performance, scalability, and reliability. </li></ul> Qualifications &amp; Skills <ul> <li>Extensive experience with map-based localization using HD maps, including Lanelet2, OpenDRIVE, or comparable formats. </li><li>Strong background in differentiable optimization, neural pose estimation, and machine learning frameworks such as PyTorch, PyPose, Theseus, or similar tools. </li><li>Proven expertise in non-linear optimization and state estimation using frameworks such as Ceres, g2o, GTSAM, or equivalent. </li><li>Strong understanding of Bayesian filtering techniques and autonomous navigation systems. </li><li>Advanced knowledge of coordinate transformations, Lie groups and Lie algebras (SO3, SE3), and 2D/3D geometric reasoning. </li><li>Expert-level programming skills in modern C++ (C++17/C++20) and Python. </li><li>Strong experience with ROS 2 and software development for robotics platforms. </li><li>Experience designing performance-critical, production-quality software within Linux environments. </li></ul> Preferred Qualifications <ul> <li>Experience working with learned Bird's Eye View (BEV) representations and probability-map alignment techniques. </li><li>Familiarity with autonomous driving software stacks and modular autonomy architectures. </li><li>Knowledge of geometric deep learning and spatial data association methods. </li><li>Experience applying machine learning techniques to visual odometry, localization, scene understanding, or perception-related challenges. </li><li>Exposure to large-scale autonomous vehicle or robotics deployments. </li></ul> Education <ul> <li>Master's or PhD in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or a related field. </li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b><span>"URGENT HIRING"</span></b><br><br><b><span>Job Title:&nbsp; Forklift Operator&nbsp;</span></b><br><br></span><ul><li><span><b>Salary:&nbsp; AED 2500 + other benefits</b><br></span></li><li><span>Location: Abu Dhabi,UAE</span><br></li></ul><p><b><span>We are looking for experienced Forklift Operators to join our team!</span></b><br></p><br><p><span>If you have </span><b><span>hands-on experience in ADNOC and CICPA projects/sites</span></b><span>, this is a great opportunity to advance your career with a professional work environment.</span><br></p><br><p><b><span><span>Key Responsibilities:</span></span></b></p><br><ul><li><span>Safely operate forklifts for loading, unloading, and moving materials.<br></span></li><li><span>Handle and transport goods within warehouses, yards, and work sites.<br></span></li><li><span>Follow <b>ADNOC and CICPA</b> safety standards and site procedures.<br></span></li><li><span>Conduct daily pre-operation checks and report any equipment issues.<br></span></li><li><span>Ensure proper placement and stacking of materials.<br></span></li><li><span>Assist with loading and unloading trucks and containers.<br></span></li><li><span>Maintain safe working practices and prevent damage to materials.<br></span></li><li><span>Coordinate with warehouse and logistics teams for smooth operations.<br></span></li><li><span>Maintain the forklift in a clean and safe operating condition.<br></span></li><li><span>Immediately report accidents, hazards, or unsafe conditions to the supervisor.<br></span></li></ul><br><span>RequirementsMinimum 2–3 years of experience as a Forklift Operator<br><b>ADNOC &amp; CIC</b>​<b>PA experience is mandatory</b><br>Valid UAE Forklift License/Certificate<br>Strong knowledge of forklift operation and safety procedures<br>Experience in loading, unloading, and material handling<br>Good physical fitness and stamina<br>Safety-conscious, responsible, and punctual<br>Ability to work under pressure and in a fast-paced environment<br>Candidates with relevant UAE experience will be preferred.<br></span><br><span>Benefits<span><b>Salary: AED 2500 +&nbsp; other benefits</b></span><br><br></span><br> </div>

<p>We are hiring a Security Guard cum CCTV Operator. Freshers may apply.</p> <p>Responsibilities:</p> <p>Monitor CCTV cameras and report any suspicious activity<br /> Control access and check visitors/vehicles<br /> Conduct regular site patrols<br /> Ensure safety and security of premises<br /> Report incidents to management</p> <p>CANDIDATES CAN SEND THEIR CV VIA EMAIL : psinfo1990@gmail.com and WHATSAPP : 0529456306</p>

<ul><li><p>Perform preventive, predictive, and corrective maintenance of production machinery.</p></li><li><p>Troubleshoot and repair mechanical, electrical, and automation-related faults.</p></li><li><p>Minimize machine downtime and ensure maximum equipment availability.</p></li><li><p>Monitor machine performance and implement improvement initiatives.</p></li><li><p>Support basic automation systems and machine controls.</p></li><li><p>Maintain maintenance records and spare parts inventory.</p></li><li><p>Ensure compliance with safety standards and maintenance procedures.</p></li><li><p>Coordinate with production teams to support uninterrupted operations.</p></li><li><p>Assist in installation and commissioning of new machinery and equipment.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>ITI (2 years) or Technical Diploma (3 years) in Mechanical, Electrical, Mechatronics, or related field.</p></li><li><p>Minimum 5 years of maintenance experience in manufacturing machinery, preferably in furniture/cabinetry production.</p></li><li><p>Strong knowledge of mechanics, mechatronics, electrical, pneumatic, and hydraulic systems.</p></li><li><p>Basic knowledge of automation systems required; PLC knowledge is an added advantage.</p></li><li><p>Ability to troubleshoot woodworking machinery such as CNCs, panel saws, edge banders, and drilling machines.</p></li><li><p>English proficiency (minimum A2, preferably B1/B2) and Hindi communication skills.</p></li><li><p>Reliable, proactive, team-oriented, and strong problem-solving abilities.</p></li></ul>

AI Lead (6-Month Contract) - Big 4 Consulting Client Position: AI Lead<br> Location: Abu Dhabi, UAE (Onsite)<br> Contract Duration: 6 Months<br> Client: Big 4 Consulting Firm<br> Start Date: Immediate / ASAP<br><br>Role<br><br>Our Big 4 consulting client is seeking an experienced and commercially focused AI Lead to drive the strategic development and execution of AI initiatives for enterprise and government-sector clients across the UAE. The successful candidate will be responsible for defining the AI vision and roadmap, leading a team of AI Engineers, and delivering innovative AI and Generative AI solutions that enable digital transformation and business value. This role combines strategic leadership, stakeholder engagement, and hands-on technical delivery, requiring an individual who can bridge business objectives with cutting-edge AI capabilities.<br><br>Key Responsibilities<br><br><br><br>AI Strategy & Roadmap Development<br><br>Define, develop, and own the AI strategy and roadmap aligned with client business objectives and digital transformation goals. Identify and prioritize AI, Machine Learning, and Generative AI use cases with measurable business impact. Establish delivery plans, governance frameworks, success metrics, and implementation timelines. Evaluate emerging AI technologies, platforms, and market trends to drive innovation and competitive advantage. Provide strategic recommendations to senior client stakeholders on AI adoption and scaling.<br><br>Team Leadership & Technical Oversight<br><br>Lead, mentor, and manage a team of AI Engineers, Data Scientists, and Machine Learning Engineers. Drive technical excellence through architectural guidance, solution reviews, and best-practice implementation. Support capability development and knowledge sharing across the AI team. Ensure high-quality delivery across multiple AI initiatives and workstreams.<br><br>AI Solution Delivery<br><br>Oversee the design, development, deployment, and optimization of AI and Generative AI solutions. Lead the implementation of Large Language Models (LLMs), predictive analytics, machine learning models, intelligent automation, and Copilot solutions. Collaborate with data, engineering, product, and business teams to transform requirements into scalable AI solutions. Ensure solutions adhere to security, governance, compliance, and Responsible AI standards.<br><br>Stakeholder & Client Management<br><br>Partner with senior executives, business leaders, and technology stakeholders to identify AI opportunities and define business cases. Present AI strategies, roadmaps, solution designs, and project updates to executive audiences. Act as a trusted advisor to clients on AI transformation, implementation approaches, and operating models. Support business development activities, proposals, and client workshops where required.<br><br>Project Delivery & Governance<br><br>Manage the end-to-end lifecycle of AI projects, ensuring successful delivery within agreed timelines and objectives. Monitor project risks, dependencies, and performance metrics. Establish and track KPIs to measure adoption, effectiveness, and business outcomes of AI initiatives. Drive continuous improvement across AI delivery processes and methodologies.<br><br>Required Experience & Qualifications<br><br>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.8+ years of experience in AI, Machine Learning, Data Science, or Advanced Analytics. Proven experience leading AI teams and delivering enterprise-scale AI programs. Demonstrated experience creating and executing AI roadmaps and transformation strategies. Strong expertise in Generative AI, LLMs, NLP, Machine Learning, and AI solution architecture. Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud. Excellent stakeholder management, consulting, and presentation skills. Experience working within a consulting environment or delivering projects for large enterprise clients.<br><br>Preferred Experience<br><br>Previous experience within a Big 4 consulting firm or a leading technology consulting organisation. Experience delivering AI solutions for government, public sector, financial services, energy, or large enterprise clients. Expertise in Azure Open AI, Microsoft Copilot, Azure AI Services, and enterprise AI governance frameworks. Knowledge of MLOps, Responsible AI, and AI operating models.<br><br>Key Skills<br><br>AI Strategy & Roadmapping Generative AI & Large Language Models (LLMs) Machine Learning & Data Science AI Solution Architecture Team Leadership & People Management Client & Stakeholder Management Digital Transformation Project & Programme Delivery AI Governance & Responsible AICloud Platforms (Azure, AWS, GCP)<br> <br>Let op: vacaturefraude<br>Helaas komt vacaturefraude steeds vaker voor. We waarschuwen je voor mogelijke misleiding:<br>* Wij zullen nooit via Whats App of in een videogesprek vragen om jouw persoonlijke gegevens (zoals een kopie van je ID, bankgegevens of BSN).<br>* Twijfel je over de echtheid van een vacature of contactpersoon? Neem dan altijd rechtstreeks contact met ons op via de officiële contactgegevens op onze website.<br> <br>Important: job fraud<br> <br>Unfortunately, job fraud is becoming more common. Beware of such scams:<br>* We will never ask for personal information (such as a copy of your ID, bank details, or social security number) via Whats App or during a video call.<br>* If you're unsure whether a vacancy or contact person is legitimate, please reach out to us directly using the official contact details on our website.

<p>First Class Vending LLC is looking for a highly motivated, experienced, and technically capable <strong>Technical Sales & Business Development Executive</strong>.</p><p>We are looking for an all-round professional who can manage the complete sales cycle — from <strong>generating new leads and handling incoming inquiries to preparing proposals, conducting client meetings, negotiating, and successfully closing deals</strong>.</p><p>The ideal candidate should combine <strong>strong B2B sales and business development skills with technical knowledge of vending machines, software, payment systems, and basic troubleshooting</strong>.</p><p>Key Responsibilities</p><ul><li><p>Generate new <strong>B2B sales leads</strong> and identify new business opportunities across the UAE.</p></li><li><p>Handle incoming leads from <strong>emails, phone calls, WhatsApp, website inquiries, referrals, and other channels</strong>.</p></li><li><p>Follow up professionally with potential customers and convert qualified leads into successful sales.</p></li><li><p>Manage the <strong>complete sales cycle</strong> from initial inquiry to final deal closure.</p></li><li><p>Arrange and attend <strong>client meetings, site visits, presentations, and product demonstrations</strong>.</p></li><li><p>Approach corporate offices, factories, warehouses, hospitals, schools, universities, hotels, construction sites, government organizations, and other potential locations.</p></li><li><p>Develop long-term strategies to increase the company's customer base, market presence, and revenue.</p></li><li><p>Build and maintain strong relationships with existing and potential clients.</p></li><li><p>Understand client requirements and recommend suitable <strong>vending machine solutions</strong>.</p></li><li><p>Prepare professional <strong>quotations, proposals, presentations, contracts, invoices, and other commercial documents</strong>.</p></li><li><p>Negotiate pricing, commercial terms, rental agreements, purchase agreements, and service contracts.</p></li><li><p>Follow up on quotations and proposals until the deal is successfully closed.</p></li><li><p>Maintain proper records of leads, opportunities, follow-ups, customers, and sales activities.</p></li><li><p>Coordinate with technical and operations teams for machine delivery, installation, configuration, maintenance, and after-sales service.</p></li><li><p>Provide professional after-sales communication and support to clients.</p></li><li><p>Work toward sales targets and contribute directly to the company's long-term growth.</p></li></ul><p>Technical Knowledge Required</p><p>The candidate should have good practical knowledge or understanding of:</p><ul><li><p>Snack & beverage vending machines</p></li><li><p>Coffee vending machines</p></li><li><p>Vending machine installation and operation</p></li><li><p>Basic vending machine troubleshooting and repair</p></li><li><p>Machine configuration and settings</p></li><li><p>Vending machine software and management systems</p></li><li><p>Cashless payment systems and card readers</p></li><li><p>POS/payment terminals</p></li><li><p>Basic networking, Wi-Fi, SIM/4G connectivity</p></li><li><p>Android/software-based machine interfaces</p></li><li><p>Remote monitoring systems</p></li><li><p>Basic electrical/electronic troubleshooting</p></li><li><p>Ability to coordinate more complex technical issues with technicians or suppliers</p></li></ul><p><strong>The candidate does not need to be a full-time technician, but must be technically capable enough to understand the machines, explain solutions to customers, identify basic problems, and coordinate technical work.</strong></p><p>Computer & Office Skills</p><p>Strong working knowledge of:</p><ul><li><p>Microsoft Word</p></li><li><p>Microsoft Excel</p></li><li><p>Microsoft PowerPoint</p></li><li><p>Email communication</p></li><li><p>Preparing quotations and invoices</p></li><li><p>Preparing professional business proposals</p></li><li><p>Preparing presentations</p></li><li><p>Maintaining customer and sales records</p></li><li><p>Basic CRM or lead-management systems</p></li><li><p>General computer and software troubleshooting</p></li></ul><p>Candidate Requirements</p><ul><li><p>Proven experience in <strong>B2B Sales and Business Development</strong></p></li><li><p>Strong ability to <strong>generate leads, negotiate, and close deals</strong></p></li><li><p>Excellent client-handling and relationship-management skills</p></li><li><p>Strong understanding of the UAE business environment</p></li><li><p><strong>Valid UAE Driving License – Required</strong></p></li><li><p>Good knowledge of UAE roads and ability to independently attend meetings and site visits</p></li><li><p><strong>Excellent spoken and written English – Required</strong></p></li><li><p>Strong communication and presentation skills</p></li><li><p>Professional appearance and behavior</p></li><li><p>Good negotiation and problem-solving abilities</p></li><li><p>Strong follow-up skills</p></li><li><p>Self-motivated and target-oriented</p></li><li><p>Ability to work independently and take responsibility</p></li><li><p>Good time management and organizational skills</p></li><li><p>Ability to handle multiple leads and clients simultaneously</p></li></ul><p>Preferred Experience</p><p>Candidates with previous UAE experience in any of the following will be preferred:</p><p><strong>Vending Machines • Automated Retail • Coffee Machines • FMCG • Food & Beverage Equipment • Commercial Equipment • POS Systems • Payment Solutions • Technical Sales • B2B Equipment Sales</strong></p><p>Ideal Candidate</p><p>We are looking for someone who is <strong>not just a salesperson</strong>.</p><p>The right candidate should be able to <strong>find new business, develop long-term opportunities, handle incoming leads, understand customer requirements, propose the right solution, prepare professional commercial documents, negotiate confidently, close deals, understand the technical side of vending machines, and support the company in growing its business across the UAE.</strong></p><p>How to Apply</p><p>Interested candidates should submit their <strong>updated CV</strong> with details of their UAE sales experience, technical experience, driving license status, and relevant industry experience.</p><p><strong>First Class Vending LLC</strong><br><strong>Dubai, United Arab Emirates</strong></p><p><strong>Desired Candidate Profile</strong></p><p>We are looking for someone who is not just a salesperson. The right candidate should be able to find new business, develop long-term opportunities, handle incoming leads, understand customer requirements, propose the right solution, prepare professional commercial documents, negotiate confidently, close deals, understand the technical side of vending machines, and support the company in growing its business across the UAE.</p>

What Will Your Day Look Like?<br><br>As a Mechanical Technician you will be responsible for preventive and breakdown maintenance, troubleshooting mechanical issues, and ensuring manufacturing equipment operates safely and efficiently to minimize production downtime.<br><br>How Will You Make an Impact?<br><br>Perform preventive and breakdown maintenance for manufacturing machines. Troubleshoot mechanical issues and carry out corrective actions. Maintain motors, pumps, bearings, conveyors, palletizers, and packaging equipment. Handle maintenance activities for key technologies, multivac machines and auxiliary systems. Monitor machine performance and improve operational efficiency. Replace defective mechanical parts and ensure proper machine alignment and calibration. Support production team during machine setup and changeover activities. Maintain maintenance records and daily reports. Follow safety procedures and company maintenance standards. Coordinate with OEM service engineers when required <br><br>Education & Experience<br><br>2+ years of similar experience as a maintenance technician. English language proficiency - Reading, Writing, Listening & Speaking. <br><br>Grow with Agthia – For the Better <br><br>Agthia Group is one of the region’s leading Food & Beverage companies, with a growing international footprint. We are a publicly listed company on the Abu Dhabi Securities Exchange (ADX) and part of ADQ, one of region’s largest holding companies.<br><br>Rooted in Abu Dhabi since 1978, we've grown into a global presence, operating in countries including the UAE, Saudi Arabia, Kuwait, Oman, Egypt, Turkey, and Jordan. We’ve built a diverse portfolio of over 35 market-leading brands across Water & Food, Snacking, Protein & Frozen, and Agri-Business – touching the lives of millions of consumers in more than 65 global markets. With sustainability at the core of our innovations, we’ve pioneered several world-first products, setting new benchmarks in the industry and meeting the evolving needs of communities worldwide.<br><br>Over 12,000 people from more than 67 nationalities are at the heart of shaping our purpose driven future, supported by an agile environment which encourages collaboration, creativity, and the freedom to make a real difference. With a competitive benefits package, genuine opportunities to advance, and a focus on continuous learning and development, we’re committed to supporting your growth as we work together to deliver excellence “For the Better.”<br><br>Join us and be part of a team that's not just shaping the future of food and beverage but also making a meaningful impact on the world. Together, let's grow 'For the Better.'

Job Description<br><br>Date Posted:<br><br>2026-09-11<br><br>Country<br><br>United States of America<br><br>Location:<br><br>US-TX-EL PASO-M2 ~ 7201 Montana Ave ~ BLDG M2<br><br>Position Role Type<br><br>Onsite<br><br>U. S. Citizen, U. S. Person, Or Immigration Status Requirements<br><br>Active and transferable U. S. government issued security clearance is required prior to start date. U. S. citizenship is required, as only U. S. citizens are eligible for a security clearance<br><br>Security Clearance Type<br><br>Secret - Current<br><br>Security Clearance Status<br><br>Active and existing security clearance required on day 1<br><br>At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.<br><br>The Organizational Activities Interface (OAI)/Technical Support Engineer will provide technical field operational services for the UAE Patriot Technical Assistance program. The OAI personnel will advise and assist with training of Patriot Battalion (BN) and Fire Unit (FU) personnel in required operational skills. Assist with BN/FU operation software initialization to include formulating system databases and communication plans. Provide expertise on system software application (e.g., initialization, operation, and training). Supports tasks that ensure the integrated Phased Array Tracking Radar to Intercept of Target (PATRIOT) System is fully operational to include all aspects of the Air Battle at the BN and FU levels. Assist with new equipment training and sustainment training, both classroom and practical exercises to include software (PDB’s) and hardware (sweeps) update training. Supports UAE military personnel in its system refresher operator training to battery and battalion personnel to maintain, improve, and upgrade skills.<br><br>During the modernization process, the OAI will provide Technical Advice, and Assists Battery Personnel with Operational and Tactical Procedures Associated with the Patriot Missile System. Conduct operation and management of exercises utilizing practice scenarios with the Patriot ECS and ICC. Participate in On-the-Job Training (OJT) Programs. Performs other related Duties as required or directed by the section officer. Provides Technical Advice and Assists Battery Personnel with Operational and Tactical Procedures Associated with the Patriot Missile System. Conducts operation and management of exercises utilizing practice scenarios with the Patriot ECS and ICC. Performs other related Duties as required or directed by the section officer. The individual will also provide Technical Instruction and Training at the training center using conference and practical exercise teaching methods.<br><br>This position is located in Abu Dhabi, UAE. This assignment is for short term only.<br><br>Qualifications You Must Have<br><br>Must have at least four of experience in the PATRIOT Air Defense System<br><br>Must have directly related experience in the Patriot Evaluation Section and Patriot Tactical Operations at the Battalion or higher level<br><br>Demonstrated experience with integrated Battalion and Fire Unit-to-Fire Unit (FU-FU) operations.<br><br>Demonstrated experience instructing PATRIOT organizational classes in the classroom and on the tactical equipment or Patriot Conduct of Fire Trainer in the following areas: RSOP/Survey, March Order and Emplacement, System Initialization and Mapping, Air Defense Mission (ADM) against Air-Breathing Threats (ABT) and Tactical Ballistic Missiles (TBM), Guided Missile Reload and ARTEP Battle Drills/Gunnery Tables<br><br>Demonstrated knowledge on Brigade/AADCOM level TACSOP’s, and shall be capable of assisting in the training of organizational level system upgrades.<br><br>Must have successfully completed the Patriot Operator and System Mechanic MOS 24T/14E/140E conducted under the auspices of the U. S. Army Training and Doctrine Command (TRADOC) or an equivalent course of instruction conducted by the Patriot Missile System Contractor<br><br>Must have a current Secret Security Clearance.<br><br>Qualifications We Prefer<br><br>Working knowledge of PATRIOT integrated battalion and Fire Platoon-to Fire Platoon operations, to include expertise with PATRIOT communication links.<br><br>Demonstrated one (1) year of Collective Training experience or assignment to a deployed PATRIOT Battalion in CONUS or OCONUS.<br><br>Experience with Microsoft Word and Power Point.<br><br>Required Education<br><br>Bachelor’s Degree with 5 years of related experience, or Associates Degree with 8 years’ experience or HS Diploma/GED with 12 years of related experience.<br><br>What We Offer<br><br>Whether you’re just starting out on your career journey or are an experienced professional, we offer a total rewards package that goes above and beyond with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance, and child/adult backup care.<br><br>Additional Information<br><br>Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products<br><br>#Patriot<br><br>As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.<br><br>The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.<br><br>Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.<br><br>Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.<br><br>This role is a U. S.-based role. If the successful candidate resides in a U. S. territory, the appropriate pay structure and benefits will apply.<br><br>RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.<br><br>RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.<br><br>Privacy Policy And Terms<br><br>Click on this link to read the Policy and Terms<br><br>Job Details<br><br>Role Level: Executive-Level Work Type: Full-Time Country: United Arab Emirates City: Abu Dhabi Company Website: https://www.rtx.com/ Job Function: Operations Management Company Industry/<br><br>Sector: Aviation and Aerospace Component Manufacturing<br><br>What We Offer<br><br>About The Company<br><br>Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. 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Role: Technical Recruiter (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $160K - $300K/yr<br>Role Overview:This role focuses on developing and refining an AI-powered recruitment tool named Zara to automate candidate sourcing, screening, and engagement processes. The position requires deep technical expertise in machine learning and AI systems while collaborating with cross-functional teams to deploy scalable solutions.<br>Key Responsibilities:• Design, implement, and optimize machine learning models to improve Zara’s candidate matching accuracy and efficiency.• Develop and maintain backend infrastructure supporting natural language processing for resume parsing and job description analysis.• Integrate Zara with applicant tracking systems, HR databases, and third-party job platforms via APIs.• Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics.• Ensure compliance with privacy regulations and ethical AI standards in recruitment workflows.<br>Required Skills & Qualifications:• Proficiency in Python, including experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong background in natural language processing, including experience with libraries such as spa Cy or Hugging Face.• Experience building and deploying scalable AI systems in production environments.• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker.• Knowledge of SQL and NoSQL databases for data extraction and integration.• Understanding of ethical AI principles and bias mitigation techniques in recruitment systems.• Experience with RESTful APIs and microservices architecture.• Background in data pipeline development and ETL processes.<br>More About the Opportunity:This role offers a unique opportunity to work on a cutting-edge AI recruiter system used by organizations worldwide. The position contributes to reducing hiring bias and improving talent acquisition efficiency through technology.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Technical Recruiter (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $160K - $300K/yr<br>Role Overview:This role focuses on developing and refining an AI-powered recruitment tool named Zara to automate candidate sourcing, screening, and engagement processes. The position requires deep technical expertise in machine learning and AI systems while collaborating with cross-functional teams to deploy scalable solutions.<br>Key Responsibilities:• Design, implement, and optimize machine learning models to improve Zara’s candidate matching accuracy and efficiency.• Develop and maintain backend infrastructure supporting natural language processing for resume parsing and job description analysis.• Integrate Zara with applicant tracking systems, HR databases, and third-party job platforms via APIs.• Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics.• Ensure compliance with privacy regulations and ethical AI standards in recruitment workflows.<br>Required Skills & Qualifications:• Proficiency in Python, including experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong background in natural language processing, including experience with libraries such as spa Cy or Hugging Face.• Experience building and deploying scalable AI systems in production environments.• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker.• Knowledge of SQL and NoSQL databases for data extraction and integration.• Understanding of ethical AI principles and bias mitigation techniques in recruitment systems.• Experience with RESTful APIs and microservices architecture.• Background in data pipeline development and ETL processes.<br>More About the Opportunity:This role offers a unique opportunity to work on a cutting-edge AI recruiter system used by organizations worldwide. The position contributes to reducing hiring bias and improving talent acquisition efficiency through technology.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Technical Recruiter (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $160K - $300K/yr<br>Role Overview:This role focuses on developing and refining an AI-powered recruitment tool named Zara to automate candidate sourcing, screening, and engagement processes. The position requires deep technical expertise in machine learning and AI systems while collaborating with cross-functional teams to deploy scalable solutions.<br>Key Responsibilities:• Design, implement, and optimize machine learning models to improve Zara’s candidate matching accuracy and efficiency.• Develop and maintain backend infrastructure supporting natural language processing for resume parsing and job description analysis.• Integrate Zara with applicant tracking systems, HR databases, and third-party job platforms via APIs.• Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics.• Ensure compliance with privacy regulations and ethical AI standards in recruitment workflows.<br>Required Skills & Qualifications:• Proficiency in Python, including experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong background in natural language processing, including experience with libraries such as spa Cy or Hugging Face.• Experience building and deploying scalable AI systems in production environments.• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker.• Knowledge of SQL and NoSQL databases for data extraction and integration.• Understanding of ethical AI principles and bias mitigation techniques in recruitment systems.• Experience with RESTful APIs and microservices architecture.• Background in data pipeline development and ETL processes.<br>More About the Opportunity:This role offers a unique opportunity to work on a cutting-edge AI recruiter system used by organizations worldwide. The position contributes to reducing hiring bias and improving talent acquisition efficiency through technology.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: ML Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a MLE Bench – ML Engineers to work on a part-time basis. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>Key Responsibilities:• Work with real-world ML codebases to support MLE Bench–style evaluation tasks• Build, run, and modify model training, evaluation, and inference pipelines• Prepare datasets, features, and metrics for ML benchmarking and validation• Debug, refactor, and improve production-like ML systems for correctness and performance• Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks<br>Required Skills & Qualifications:• Minimum 3+ years of overall experience as a machine learning engineer or software engineer (ML-focused)• Strong proficiency in Python for machine learning and data workflows• Hands-on experience with model training, evaluation, and inference pipelines• Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization)• Experience working with ML frameworks (e.g., PyTorch, Tensor Flow)<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development and evaluation of frontier AI systems. Candidates will collaborate with top AI researchers and engineers to design and solve challenging real-world ML engineering tasks.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Technical Recruiter (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $160K - $300K/yr<br>Role Overview:This role focuses on developing and refining an AI-powered recruitment tool named Zara to automate candidate sourcing, screening, and engagement processes. The position requires deep technical expertise in machine learning and AI systems while collaborating with cross-functional teams to deploy scalable solutions.<br>Key Responsibilities:• Design, implement, and optimize machine learning models to improve Zara’s candidate matching accuracy and efficiency.• Develop and maintain backend infrastructure supporting natural language processing for resume parsing and job description analysis.• Integrate Zara with applicant tracking systems, HR databases, and third-party job platforms via APIs.• Collaborate with data scientists and product teams to refine AI training datasets and evaluate model performance metrics.• Ensure compliance with privacy regulations and ethical AI standards in recruitment workflows.<br>Required Skills & Qualifications:• Proficiency in Python, including experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong background in natural language processing, including experience with libraries such as spa Cy or Hugging Face.• Experience building and deploying scalable AI systems in production environments.• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker.• Knowledge of SQL and NoSQL databases for data extraction and integration.• Understanding of ethical AI principles and bias mitigation techniques in recruitment systems.• Experience with RESTful APIs and microservices architecture.• Background in data pipeline development and ETL processes.<br>More About the Opportunity:This role offers a unique opportunity to work on a cutting-edge AI recruiter system used by organizations worldwide. The position contributes to reducing hiring bias and improving talent acquisition efficiency through technology.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: AI/ML Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $160K - $300K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, AI/ML Engineering to work on a full-time basis. The role involves designing, developing, and deploying machine learning models that drive business outcomes. You will collaborate with cross-functional teams to integrate AI solutions into production systems.<br>Key Responsibilities:• Design, build, and optimize scalable AI/ML models for real-world applications.• Develop and maintain machine learning pipelines, including data preprocessing, feature engineering, and model training.• Collaborate with software engineers to deploy models into production systems with scalability and reliability.• Conduct rigorous testing and validation to ensure model performance and accuracy.• Stay current with advancements in AI/ML research and apply them to improve existing solutions.<br>Required Skills & Qualifications:• Proficiency in Python, with experience in AI/ML frameworks such as Tensor Flow or PyTorch.• Strong background in machine learning algorithms, including supervised and unsupervised learning techniques.• Experience with data processing and analysis tools, such as SQL, Pandas, or Num Py.• Familiarity with cloud platforms (AWS, GCP, or Azure) for deploying and managing ML models.• Knowledge of software engineering best practices, including version control (Git) and CI/CD pipelines.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position provides exposure to high-impact projects with opportunities for professional growth.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>The Mechanical Technician is responsible for maintaining, troubleshooting, repairing, and servicing mechanical machinery and equipment to ensure safe, reliable, and efficient production operations.</p><p>Key Responsibilities</p><ul><li>Perform preventive and corrective maintenance on mechanical machinery and equipment.</li><li>Diagnose mechanical faults and identify the root cause of equipment problems.</li><li>Repair, replace, and adjust mechanical components such as bearings, belts, chains, gears, shafts, pumps, valves, and motors.</li><li>Carry out regular inspection and servicing of production machines.</li><li>Attend to machine breakdowns and restore equipment to proper working condition as quickly as possible.</li><li>Dismantle, assemble, align, and install mechanical equipment and components.</li><li>Lubricate machinery and ensure proper lubrication schedules are followed.</li><li>Check machine alignment, vibration, temperature, and other operating conditions.</li><li>Assist with installation and commissioning of new machinery and equipment.</li><li>Maintain and repair conveyors, compressors, pumps, hydraulic and pneumatic systems where applicable.</li><li>Use hand tools, power tools, measuring instruments, and workshop equipment safely.</li><li>Maintain proper records of maintenance, repairs, spare parts, and machine breakdowns.</li><li>Coordinate with production operators and supervisors regarding machine issues.</li><li>Identify potential mechanical problems before they cause major breakdowns.</li><li>Maintain the workshop and maintenance area in a clean and organized condition.</li><li>Follow company health, safety, and environmental procedures at all times.</li><li>Ensure all maintenance work is carried out safely and according to company procedures.</li><li>Perform other mechanical maintenance duties assigned by the Maintenance Supervisor or Manager.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Diploma/ITI or equivalent qualification in Mechanical Engineering/Mechanical Maintenance is preferred.</li><li>Previous experience as a Mechanical Technician in a factory or manufacturing environment is preferred.</li><li>Good knowledge of mechanical machinery, tools, and maintenance procedures.</li><li>Ability to troubleshoot and repair mechanical equipment.</li><li>Basic knowledge of hydraulic and pneumatic systems is an advantage.</li><li>Ability to read mechanical drawings and equipment manuals.</li><li>Physically fit and able to work in an industrial environment.</li><li>Good problem-solving and communication skills.</li><li>Responsible, punctual, and safety-conscious.</li><li>Ability to work independently and as part of a maintenance team.</li><li>Willing to work overtime or shifts when required.</li></ul><p><br></p></div>

???? We're Hiring | Senior Data Scientist | Abu Dhabi, UAE<br><br>We're partnering with an innovative organisation in Abu Dhabi that's expanding its Data Science capability and is looking for an experienced Senior Data Scientist to join the team. This is an opportunity to work on large-scale, real-world challenges, developing advanced machine learning models and AI solutions that have a genuine impact. Experience working with mapping technologies, geospatial data, location intelligence, or spatial analytics would be highly beneficial<br>What we're looking for:• Strong commercial experience in Data Science & Machine Learning• Expertise in Python and modern ML frameworks• Experience deploying models into production• Knowledge of geospatial datasets, GIS, mapping technologies, or location-based analytics is a plus• Excellent stakeholder communication and problem-solving skills<br><br>???? Location: Abu Dhabi (relocation support available for the right candidate)

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Location:</strong> Abu Dhabi, UAE</p><br><br> <p>Our client is a leading artificial intelligence organisation focused on building secure, enterprise-grade AI solutions that help businesses and governments solve complex, real-world challenges.</p><br><br> <p>They specialise in developing cutting-edge applications powered by advanced AI technologies, enabling knowledge workers and organisations to unlock the full potential of large-scale data and automation.</p><br><br> <p>With a strong focus on innovation, research, and responsible AI development, the company is dedicated to delivering impactful solutions across multiple sectors.<br> <br> As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and deploying machine learning systems that power next-generation AI products.</p><br><br> <p>You will work closely with cross-functional teams to translate business requirements into scalable, production-grade AI solutions, particularly in the area of Generative AI and LLM-based systems.<br> <br> <strong>Key Responsibilities</strong></p><br><br> <br> <ul> <li>Model Development: Build, train, and deploy machine learning models to support advanced AI applications </li><li>Generative AI: Work with cutting-edge technologies including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) </li><li>System Design: Translate business use cases into scalable ML and AI solutions </li><li>Model Optimisation: Monitor performance, evaluate outputs, and continuously improve models in production </li><li>Data Pipelines: Design and maintain robust data pipelines to ensure high-quality inputs for ML models </li><li>Collaboration: Partner with engineering, product, and business teams to deliver impactful solutions </li></ul> <br> <strong>Requirements:</strong> <ul> <li> <p>5+ years’ experience in Machine Learning, Data Science, or related fields</p><br><br> </li><li> <p>Strong experience working with LLMs and fine-tuning techniques</p><br><br> </li><li> <p>Proficiency in Python (or similar programming languages)</p><br><br> </li><li> <p>Hands-on experience with ML frameworks such as:</p><br><br> <ul> <li>PyTorch </li><li>TensorFlow </li><li>scikit-learn </li></ul> </li><li> <p>Experience with Generative AI tools and frameworks, such as:</p><br><br> <ul> <li>LangChain </li><li>LlamaIndex </li><li>LangGraph </li><li>Vector databases (e.g. Weaviate) </li></ul> </li><li> <p>Proven track record of building production ML systems and solving real-world problems</p><br><br> </li><li> <p>Experience designing data pipelines and ML infrastructure</p><br><br> </li><li>Strong communication skills and ability to work across teams </li><li> Master’s or PhD in Computer Science, AI, Data Science, Statistics, or related field (preferred)<br> </li></ul> &nbsp;<br> <br><br> </div>

<p><strong>Designation</strong> CNC Operator Jr.</p><p><strong>Age Limit (Max)</strong> 24 ~ 28yrs</p><p><strong>Job Title</strong>: Junior CNC Operator</p><p><strong>Department</strong>: Production Machining</p><p><strong>Industry</strong>: Explosion-Proof Electrical Equipment Manufacturing</p><p><strong>Reporting To</strong>: CNC Supervisor / Production Manager</p><p><strong>Location</strong>: Dubai, UAE</p><p><strong>Experience Required</strong>: 02 Years</p><p><strong>Key Responsibilities</strong></p><p>Operate CNC turning and milling machines under supervision.</p><p>Assist in machining flameproof enclosures, threaded components, and precision parts as per approved drawings.</p><p>Conduct in-process inspection using vernier caliper, micrometer, bore gauge, thread gauge, etc.</p><p>Ensure surface finish and dimensional accuracy meet quality and certification requirements.</p><p>Follow strict production and quality documentation procedures.</p><p>Report non-conformities immediately to supervisor.</p><p>Maintain housekeeping as per 5S standards.</p><p><strong>Required Qualifications</strong></p><p>ITI / Diploma in Mechanical Engineering or equivalent.</p><p>Basic knowledge of CNC machining (turning &amp; milling).</p><p><strong>Preferred Knowledge (Advantage)</strong></p><p>Basic understanding of Explosion-Proof standards (ATEX / IECEx).</p><p><strong>Skills &amp; Competencies</strong></p><p>High attention to detail , Strong safety awareness</p><p>Discipline and adherence to procedures, Quality-conscious mindset</p><p>Good teamwork and communication skills, Willingness to learn and grow</p><p><strong>General Terms and Conditions</strong></p><p><strong>Working Country</strong> : Dubai, U.A.E</p><p><strong>Contract Period</strong> : 2 years and renewable</p><p><strong>Probation Period</strong> : 6 months</p><p><strong>Working hours</strong> : 8.5 hours per day</p><p><strong>Desired Candidate Profile</strong></p><p><strong>Required Qualifications</strong></p><p>ITI / Diploma in Mechanical Engineering or equivalent.</p><p>Basic knowledge of CNC machining (turning &amp; milling).</p><p><strong>Preferred Knowledge (Advantage)</strong></p><p>Basic understanding of Explosion-Proof standards (ATEX / IECEx).</p><p><strong>Skills &amp; Competencies</strong></p><p>High attention to detail , Strong safety awareness</p><p>Discipline and adherence to procedures, Quality-conscious mindset</p><p>Good teamwork and communication skills, Willingness to learn and grow</p>

<p>We are hiring a Security Guard cum CCTV Operator. Freshers may apply.</p> <p>Responsibilities:</p> <p>Monitor CCTV cameras and report any suspicious activity<br /> Control access and check visitors/vehicles<br /> Conduct regular site patrols<br /> Ensure safety and security of premises<br /> Report incidents to management</p> <p>CANDIDATES CAN SEND THEIR CV VIA EMAIL : psinfo1990@gmail.com and WHATSAPP : 0529456306</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Shape the Future of<strong>&nbsp;AI, Engineering &amp; Digital Transformation</strong><br> <br> We're building a network of exceptional professionals for upcoming enterprise-scale technology,&nbsp;<strong>AI, digital transformation, and energy sector initiatives&nbsp;</strong>across the UAE and the wider GCC. Whether you're actively exploring new opportunities or simply interested in staying connected, we'd love to hear from you. By joining our Talent Community, you'll be considered for future projects and permanent opportunities across a range of high-impact programmes.<br> <br> Areas of Expertise AI &amp; Computer Vision <ul> <li>Lead Data Scientists </li><li>Data Scientists </li><li>AI Engineers </li><li>Machine Learning Engineers </li><li>Computer Vision Specialists </li><li>Data Annotators </li></ul> <br> <strong>Skills of interest</strong>&nbsp;Computer Vision, Video Analytics, PyTorch, TensorFlow, OpenCV, YOLO, MLOps, LLMs, RAG, Agentic AI, Edge AI, Data Engineering.We're building a network of exceptional professionals for upcoming enterprise-scale technology,&nbsp;<strong>AI, digital transformation, and energy sector initiatives&nbsp;</strong>across the UAE and the wider GCC. Whether you're actively exploring new opportunities or simply interested in staying connected, we'd love to hear from you. By joining our Talent Community, you'll be considered for future projects and permanent opportunities across a range of high-impact programmes.<br> <br> Areas of Expertise AI &amp; Computer Vision <ul> <li>Lead Data Scientists </li><li>Data Scientists </li><li>AI Engineers </li><li>Machine Learning Engineers </li><li>Computer Vision Specialists </li><li>Data Annotators </li></ul> <br> <strong>Skills of interest</strong>&nbsp;Computer Vision, Video Analytics, PyTorch, TensorFlow, OpenCV, YOLO, MLOps, LLMs, RAG, Agentic AI, Edge AI, Data Engineering. <br><br> </div>