Machine operator Jobs

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> Keeps equipment available for use by inspecting and testing vehicles; completing preventive maintenance such as, engine tune-ups, oil changes, tire rotation and changes, wheel balancing, replacing filters. Maintains vehicle functional condition by listening to operator complaints; conducting inspections; repairing engine failures; repairing mechanical and electrical systems malfunctions; replacing parts and components; repairing body damage.</p><p> Verifies vehicle serviceability by conducting test drives; adjusting controls and systems. </p><p>Complies with state vehicle requirements by testing engine, safety, and combustion control standards.</p><p>Keeps shop equipment operating by following operating instructions; troubleshooting breakdowns; maintaining supplies; performing preventive maintenance; calling for repairs. </p><p> Updates job knowledge by participating in educational opportunities; reading technical publications. </p><p> Accomplishes maintenance and organization mission by completing related results as needed.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Energy Level, Dependability, Persistence, Time Management, Attendance, Independence, Safety Management, Problem Solving</p><p>, Dealing with Complexity, Analyzing Information Ability to readily and accurately diagnose mechanical difficulties Training Certificates</p><p></p></section>

About Us<br><br>Are you ready to shape how cutting-edge technologies are positioned, understood, and adopted by real markets? At Venture One, we build ventures and commercialize breakthrough technologies emerging from advanced research. Our focus spans Aerospace and Space, Security and Defense, Sustainability, Environment and Energy, and Transportation, with technologies across Cryptography, Secure Systems, Directed Energy, Advanced Materials, Autonomous Systems, and more.<br><br>About The Role<br><br>We are seeking a PLC Controls Engineer to design, program, and commission advanced control systems for fully automated (lights-out) assembly, testing, and intralogistics environments in aerospace and defense manufacturing. This role integrates PLC, Safety PLC, IIoT, Digital Twin, machine vision, and PC-based control (NI/Lab VIEW) to deliver high-reliability, zero-defect production systems with seamless coordination across robots, AMRs/AGVs/RGVs, and test platforms.<br><br>Key Responsibilities<br><br>Design and develop PLC-based control systems for automated assembly lines, robotic cells, test benches, and intralogistics systems (AMRs/AGVs/RGVs). Design and develop modular and standardized control architectures for assembly stations and production lines. Define reusable PLC code libraries, function blocks, and templates for scalable deployment across multiple lines. Develop plug-and-play station concepts, enabling rapid deployment, reconfiguration, and expansion. Standardize I/O structures, communication protocols, and interface definitions across equipment and systems. Program and configure PLC, HMI, and SCADA systems, ensuring robust, modular, and scalable architectures. Develop and implement Safety PLC systems, including:Light curtains, area scanners, safety interlocks, E-stops Compliance with international safety standards (SIL, PL, ISO 13849) Architect and implement multi-layer Poka-Yoke systems to ensure zero-defect production: Sensor-based validation (presence/absence, orientation, alignment) Integrate and program advanced sensors and instrumentation, including:LVDTs for displacement measurement Load cells for force/torque monitoring Digital and analog I/O systems (high-speed and precision applications) Implement and optimize machine vision systems, including:2D vision systems for inspection and alignment 3D vision systems for guidance and metrology Line scan cameras for continuous inspection Area scan cameras for static/dynamic inspection Develop PC-based control and test systems using:NI (National Instruments) platforms Lab VIEW programming for data acquisition, control, and automated testing Integrate control systems with robotics, assembly processes, and test equipment, including tightening, dispensing, pressing, and welding operations. Enable IIoT connectivity, including real-time data acquisition, edge computing, and integration with MES, SCADA, and cloud platforms. Develop and support Digital Twin / Process Twin models, ensuring synchronization between virtual and physical systems. Lead system commissioning and validation (FAT, SAT, IQ/OQ/PQ), ensuring performance, safety, and compliance. Establish end-to-end traceability systems, capturing process parameters, test data, and part genealogy. Optimize system performance for cycle time, throughput, and line balancing, ensuring synchronization across robots and material handling fleets. Develop and implement predictive and preventive maintenance strategies, including diagnostics and fault monitoring. Design and validate pneumatic systems, including valve control, actuators, and air management for automation applications. Implement auto-recovery and fault-handling strategies for lights-out operation (safe restart, interlock recovery, error-proofing). Ensure ergonomic and safety compliance for hybrid/manual stations and human-machine interfaces. Lead root cause analysis (RCA) and continuous improvement using data analytics and Lean methodologies. <br>Minimum Qualifications<br><br>Bachelor’s or Master’s degree in Electrical, Electronics, Mechatronics, or Automation Engineering. 10+ years of experience in PLC programming and industrial automation systems. Strong hands-on experience with PLC platforms (Siemens, Rockwell, Beckhoff, or equivalent). Proven experience with Safety PLC systems and machine safety integration. Experience integrating LVDTs, load cells, and industrial sensors. Strong experience with machine vision systems (2D, 3D, line scan, area scan). Hands-on experience in NI hardware and Lab VIEW programming for test and control systems. Experience with digital and analog I/O systems, signal conditioning, and field instrumentation. Knowledge of industrial communication protocols (OPC UA, Profinet, Ethernet/IP, Modbus). Experience in system commissioning, debugging, and production support. <br><br>Preferred Qualifications<br><br>Experience working with robotics systems and intralogistics fleets (AMRs/AGVs/RGVs). Certification in functional safety (TÜV, SIL, PL). Experience with Digital Twin platforms and simulation tools. Integration experience with MES, SCADA, WMS, and traceability systems. Knowledge of IIoT architectures, edge devices, and cloud integration. Experience in aerospace/defense manufacturing standards (AS9100, NADCAP). Strong analytical and problem-solving skills Attention to detail and quality-driven mindset Ability to lead cross-functional technical initiatives Effective communication and training capabilities <br><br>How To Apply<br><br>Are you ready to embark on an exciting journey with Venture One? If you're a visionary with a passion for innovation, we want to hear from you. To apply, please send your resume detailing your relevant experience and why you're the perfect fit for this role.<br><br>At Venture One, we believe that diverse perspectives drive innovation. We are committed to creating an inclusive and equal opportunity workplace. All qualified applicants will receive equal consideration for employment. Join us in shaping the future of business. Apply today and let's venture into a world of possibilities together!

About Us<br><br>Are you ready to shape how cutting-edge technologies are positioned, understood, and adopted by real markets? At Venture One, we build ventures and commercialize breakthrough technologies emerging from advanced research. Our focus spans Aerospace and Space, Security and Defense, Sustainability, Environment and Energy, and Transportation, with technologies across Cryptography, Secure Systems, Directed Energy, Advanced Materials, Autonomous Systems, and more.<br><br>About The Role<br><br>We are seeking a PLC Controls Engineer to design, program, and commission advanced control systems for fully automated (lights-out) assembly, testing, and intralogistics environments in aerospace and defense manufacturing. This role integrates PLC, Safety PLC, IIoT, Digital Twin, machine vision, and PC-based control (NI/Lab VIEW) to deliver high-reliability, zero-defect production systems with seamless coordination across robots, AMRs/AGVs/RGVs, and test platforms.<br><br>Key Responsibilities<br><br>Design and develop PLC-based control systems for automated assembly lines, robotic cells, test benches, and intralogistics systems (AMRs/AGVs/RGVs). Design and develop modular and standardized control architectures for assembly stations and production lines. Define reusable PLC code libraries, function blocks, and templates for scalable deployment across multiple lines. Develop plug-and-play station concepts, enabling rapid deployment, reconfiguration, and expansion. Standardize I/O structures, communication protocols, and interface definitions across equipment and systems. Program and configure PLC, HMI, and SCADA systems, ensuring robust, modular, and scalable architectures. Develop and implement Safety PLC systems, including:Light curtains, area scanners, safety interlocks, E-stops Compliance with international safety standards (SIL, PL, ISO 13849) Architect and implement multi-layer Poka-Yoke systems to ensure zero-defect production: Sensor-based validation (presence/absence, orientation, alignment) Integrate and program advanced sensors and instrumentation, including:LVDTs for displacement measurement Load cells for force/torque monitoring Digital and analog I/O systems (high-speed and precision applications) Implement and optimize machine vision systems, including:2D vision systems for inspection and alignment 3D vision systems for guidance and metrology Line scan cameras for continuous inspection Area scan cameras for static/dynamic inspection Develop PC-based control and test systems using:NI (National Instruments) platforms Lab VIEW programming for data acquisition, control, and automated testing Integrate control systems with robotics, assembly processes, and test equipment, including tightening, dispensing, pressing, and welding operations. Enable IIoT connectivity, including real-time data acquisition, edge computing, and integration with MES, SCADA, and cloud platforms. Develop and support Digital Twin / Process Twin models, ensuring synchronization between virtual and physical systems. Lead system commissioning and validation (FAT, SAT, IQ/OQ/PQ), ensuring performance, safety, and compliance. Establish end-to-end traceability systems, capturing process parameters, test data, and part genealogy. Optimize system performance for cycle time, throughput, and line balancing, ensuring synchronization across robots and material handling fleets. Develop and implement predictive and preventive maintenance strategies, including diagnostics and fault monitoring. Design and validate pneumatic systems, including valve control, actuators, and air management for automation applications. Implement auto-recovery and fault-handling strategies for lights-out operation (safe restart, interlock recovery, error-proofing). Ensure ergonomic and safety compliance for hybrid/manual stations and human-machine interfaces. Lead root cause analysis (RCA) and continuous improvement using data analytics and Lean methodologies. <br>Minimum Qualifications<br><br>Bachelor’s or Master’s degree in Electrical, Electronics, Mechatronics, or Automation Engineering. 10+ years of experience in PLC programming and industrial automation systems. Strong hands-on experience with PLC platforms (Siemens, Rockwell, Beckhoff, or equivalent). Proven experience with Safety PLC systems and machine safety integration. Experience integrating LVDTs, load cells, and industrial sensors. Strong experience with machine vision systems (2D, 3D, line scan, area scan). Hands-on experience in NI hardware and Lab VIEW programming for test and control systems. Experience with digital and analog I/O systems, signal conditioning, and field instrumentation. Knowledge of industrial communication protocols (OPC UA, Profinet, Ethernet/IP, Modbus). Experience in system commissioning, debugging, and production support. <br><br>Preferred Qualifications<br><br>Experience working with robotics systems and intralogistics fleets (AMRs/AGVs/RGVs). Certification in functional safety (TÜV, SIL, PL). Experience with Digital Twin platforms and simulation tools. Integration experience with MES, SCADA, WMS, and traceability systems. Knowledge of IIoT architectures, edge devices, and cloud integration. Experience in aerospace/defense manufacturing standards (AS9100, NADCAP). Strong analytical and problem-solving skills Attention to detail and quality-driven mindset Ability to lead cross-functional technical initiatives Effective communication and training capabilities <br><br>How To Apply<br><br>Are you ready to embark on an exciting journey with Venture One? If you're a visionary with a passion for innovation, we want to hear from you. To apply, please send your resume detailing your relevant experience and why you're the perfect fit for this role.<br><br>At Venture One, we believe that diverse perspectives drive innovation. We are committed to creating an inclusive and equal opportunity workplace. All qualified applicants will receive equal consideration for employment. Join us in shaping the future of business. Apply today and let's venture into a world of possibilities together!

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Remote United States (Remote) Posted less than 1 day ago Implementation PBXECCVoIPTelephony SIPInfrastructure Troubleshooting Software Project Management Systems Engineering Project Management Remote US Remote Posted 2 days ago Product Marketing B2BRFPContent Production Trade Shows Hub Spot Infrastructure Product Marketing Equity Marketing Privacy New York City Posted 2 days ago Strategy and Growth Management Consulting Attention to Detail Investment Banking Artificial Intelligence Austin, Texas Posted 1 day ago B2BMid-Market Pipeline Management Dentistry Supply Chain Management Sales Strategy Complex Sales ROIMarketplace Consultative Selling New York, New York Posted 30+ days ago Appeals E-commerce ADAProcurement Customer Satisfaction Medicaid Austin, Texas Posted 30+ days ago Dentistry Service B2BSupply Chain Management SMBRevenue Cycle Full-cycle Marketplace Procurement Marketing Strategy Hybrid San Francisco, United States, Seattle, Washington, United States, Hybrid<br><br>San Francisco, CA, Hybrid Seattle, WAPosted 4 days ago Commercial System Design Strategic Partnerships Orchestration Governance Sketch App Sales Engineering Data Engineering Infrastructure Fraud Marketplace Hybrid Washington DC, Washington DC, United States, Hybrid Washington DCPosted 7 days ago Marketing B2BVehicles State & Local Local Government Compliance Computer Security Fraud Marketing Packaging Procurement Hybrid Carson City, Nevada, United States, Hybrid US, Hybrid San Francisco, CA, Hybrid New York, Hybrid Seattle, WA and 2 others Posted 8 days ago Commercial Fraud Prevention Infrastructure Workforce Management Fraud Saa S Sales Channel Sales Risk Management Artificial Intelligence Remote New York, New York, United States, United States, New York, New York, USA, Remote (East Coast USA or Canada) Posted 9 days ago Sales Executive Relationships Channel Partnership Customer Acquisition Threat Hunting Multithreading Computer Security Enterprise Sales Financial Services Privacy Mobile Remote New York City, United States, Remote United States Posted 19 days ago Marketing B2BCapacity Planning Modeling Pipeline Generation Automation Sales & Marketing Marketing Operations Threat Hunting Mechanics Operational Excellence Remote Washington DC, District of Columbia, USA, Washington DCPosted 30+ days ago Sales Mobile Devices Threat Hunting National Security Intelligence Community DoDPrivacy Mobile State & Local Remote Remote, North America Posted 11 days ago Product Capital Markets Infrastructure Movement Engineering Design Product Design Remote Remote, North America Posted 18 days ago Data Science Python Scikit-learn Pandas Probability Modeling Machine Learning Underwriting SQLCredit Risk Num PyRemote Remote, North America Posted 18 days ago Engineering Distributed Systems Amazon Web Services System Architecture Python Java Google Cloud Platform Github Postgres Financial technology Microsoft Azure Remote United States, United States Posted 30+ days ago Government Service 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Systems Interaction Design CSales & Marketing User Experience Design Product Engineering Financial Services Financial technology Mobile San Francisco Posted 29 days ago Operations Robotics Diagnostics Firmware Data Collection Batteries Assemblygnss Troubleshooting GPSSensors San Francisco Posted 30+ days ago Engineering Docker Python Jira Computer Security Robotic systems C/C++Cloud Services RESTContinuous Delivery Communication Protocols San Francisco Posted 30+ days ago Sales B2BLinkedin Sales Navigator Attention to Detail Sales Development Cold Calling Hub Spot Infrastructure Driving Results Renewable Energy EPCPalo Alto, California, United States, Palo Alto Posted 30+ days ago Engineering React.js NoSQLMultiplayer Django SQLDatabases Node.js Agent Systems Artificial Intelligence Palo Alto, California, United States, Palo Alto Posted 30+ days ago Other Artificial Intelligence Remote New York, New York Posted 30+ days ago React.js Web Applications Quality Assurance Type Script 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Duty Remote Remote, Remote, United States, Remote- USPosted 30+ days ago Engineering Python Datadog Microsoft Azure Cloud Native Pager Duty Distributed Systems Service Indexing Onboarding Cloud Services Remote, Remote Posted 30+ days ago Specialists Diagnostics Primary Care

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Develop and implement detailed rigging plans for complex lifting operations, ensuring safety and efficiency in challenging environments.</li><li>Conduct thorough site inspections and risk assessments to identify potential hazards and devise mitigation strategies before commencing any rigging activity.</li><li>Select appropriate rigging equipment, including cranes, hoists, slings, and shackles, based on load weight, geometry, and environmental conditions.</li><li>Supervise and guide rigging crews, ensuring adherence to established procedures, safety protocols, and project timelines.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor's degree in Mechanical Engineering, Civil Engineering, or a related field, demonstrating a strong theoretical foundation.</p></li><li><p>Minimum of 13 years of progressive experience specifically in rigging engineering, with a proven track record of successful project execution.</p></li><li><p>Certification as a Certified Rigger or Certified Crane Operator (e.g., NCCCO) is highly desirable, showcasing validated expertise.</p></li><li><p>Experience in heavy industrial sectors such as oil &amp; gas, petrochemical, power generation, or large-scale construction projects.</p></li></ul><br><p><strong>Eligibility Criteria</strong></p><p>✔ Experience in Pipeline / Oil &amp; Gas / EPC / Flowline / Wellhead / Brownfield / Upstream / Onshore</p><p>✔ Gulf / ADNOC experience preferred</p><p>✔ Clean-shaven policy applicable</p><p>❌ Candidates with Metro / Building / Road Infrastructure experience are not eligible</p><br><p><strong>Age Criteria:</strong></p><ul><li><p>Maximum age limit is 49 years</p></li><li><p>For managerial positions, this may be extended up to 50 years if the candidate has significant Gulf experience</p></li></ul><br><p><strong>Managerial and SR. Positions:</strong></p><ul><li><p>A minimum of 5 years of Gulf experience in the relevant field is mandatory</p></li></ul><br><br><p></p></section>

Role Overview<br><br>We are seeking a highly skilled and experienced Senior AI Engineer to design, develop, and deploy advanced artificial intelligence solutions. This role involves working across the full AI lifecycle—from research and model development to production deployment and optimization—while collaborating with cross-functional teams to drive innovation and business impact.<br><br>Key Responsibilities<br><br>Design, develop, and deploy scalable AI and machine learning models. Lead the development of end-to-end AI pipelines, including data preprocessing, model training, evaluation, and deployment. Build and optimize solutions across domains such as NLP, computer vision, recommendation systems, and generative AI. Collaborate with data engineers, software engineers, and product teams to integrate AI solutions into production systems. Optimize models for performance, scalability, and cost-efficiency. Research and evaluate emerging AI technologies and frameworks to drive continuous innovation. Establish best practices for model development, deployment, monitoring, and governance (MLOps / LLMOps). Mentor junior engineers and provide technical leadership within the team. Ensure ethical AI practices, fairness, and compliance with relevant regulations. <br><br>Required Qualifications<br><br>Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD is a plus). 7+ years of experience in AI/ML engineering or related roles. Strong programming skills in Python (and/or Java, C++). Hands-on experience with machine learning frameworks such as Tensor Flow, PyTorch, or similar. Proven experience deploying ML models into production environments. Solid understanding of statistics, algorithms, and data structures. Experience with cloud platforms (e.g., Azure, AWS, GCP) and MLOps practices. Proficiency in data processing tools such as SQL, Spark, or Hadoop. Experience with generative AI, including large language models (LLMs) and transformer-based architectures. <br><br>Key Skills<br><br>Strong analytical and problem-solving skills Excellent communication and collaboration abilities Ability to translate business requirements into scalable AI solutions Leadership and mentoring capabilities <br><br>Gen AI & Advanced AI Skills <br><br>Experience developing Agentic AI workflows Strong understanding of the Agentic AI pipeline, including:Agent runtimes Memory management Agentic architectures LLMOps concepts Hands-on experience with:Retrieval-Augmented Generation (RAG) LLM fine-tuning techniques Experience with Gen AI tools and frameworks (e.g., Lang Chain, Semantic Kernel, Llama Index, etc.) <br><br>Preferred Qualifications<br><br>Experience with model serving frameworks and APIs (e.g., Fast API, Flask). Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience with CI/CD pipelines and Dev Ops practices. Exposure to data engineering or big data ecosystems. Domain experience (e.g., finance, healthcare, retail, telecom) is a plus. <br><br>Senior AI Engineer in Abu Dhabi, United Arab Emirates

Role Overview<br><br>We are seeking a highly skilled and experienced Senior AI Engineer to design, develop, and deploy advanced artificial intelligence solutions. This role involves working across the full AI lifecycle—from research and model development to production deployment and optimization—while collaborating with cross-functional teams to drive innovation and business impact.<br><br>Key Responsibilities<br><br>Design, develop, and deploy scalable AI and machine learning models. Lead the development of end-to-end AI pipelines, including data preprocessing, model training, evaluation, and deployment. Build and optimize solutions across domains such as NLP, computer vision, recommendation systems, and generative AI. Collaborate with data engineers, software engineers, and product teams to integrate AI solutions into production systems. Optimize models for performance, scalability, and cost-efficiency. Research and evaluate emerging AI technologies and frameworks to drive continuous innovation. Establish best practices for model development, deployment, monitoring, and governance (MLOps / LLMOps). Mentor junior engineers and provide technical leadership within the team. Ensure ethical AI practices, fairness, and compliance with relevant regulations. <br><br>Required Qualifications<br><br>Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD is a plus). 7+ years of experience in AI/ML engineering or related roles. Strong programming skills in Python (and/or Java, C++). Hands-on experience with machine learning frameworks such as Tensor Flow, PyTorch, or similar. Proven experience deploying ML models into production environments. Solid understanding of statistics, algorithms, and data structures. Experience with cloud platforms (e.g., Azure, AWS, GCP) and MLOps practices. Proficiency in data processing tools such as SQL, Spark, or Hadoop. Experience with generative AI, including large language models (LLMs) and transformer-based architectures. <br><br>Key Skills<br><br>Strong analytical and problem-solving skills Excellent communication and collaboration abilities Ability to translate business requirements into scalable AI solutions Leadership and mentoring capabilities <br><br>Gen AI & Advanced AI Skills <br><br>Experience developing Agentic AI workflows Strong understanding of the Agentic AI pipeline, including:Agent runtimes Memory management Agentic architectures LLMOps concepts Hands-on experience with:Retrieval-Augmented Generation (RAG) LLM fine-tuning techniques Experience with Gen AI tools and frameworks (e.g., Lang Chain, Semantic Kernel, Llama Index, etc.) <br><br>Preferred Qualifications<br><br>Experience with model serving frameworks and APIs (e.g., Fast API, Flask). Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience with CI/CD pipelines and Dev Ops practices. Exposure to data engineering or big data ecosystems. Domain experience (e.g., finance, healthcare, retail, telecom) is a plus. <br><br>Senior AI Engineer in Abu Dhabi, United Arab Emirates

Role: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<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 is fully remote, providing flexibility to work from anywhere.<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: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<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 is fully remote, providing flexibility to work from anywhere.<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: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<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 is fully remote, providing flexibility to work from anywhere.<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: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<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 is fully remote, providing flexibility to work from anywhere.<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: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<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 is fully remote, providing flexibility to work from anywhere.<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: Data Scientist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Data Scientist to work on a contract basis. The role involves developing and deploying machine learning models to solve business problems. You will collaborate with cross-functional teams to deliver data-driven insights and solutions.<br>Key Responsibilities:• Design, build, and deploy predictive models using Python and relevant libraries.• Analyze large datasets to identify trends, patterns, and correlations.• Develop and maintain data pipelines to ensure data quality and accessibility.• Collaborate with stakeholders to translate business requirements into technical specifications.• Present findings and recommendations to non-technical audiences.<br>Required Skills & Qualifications:• Proficiency in Python, including libraries such as Pandas, Num Py, and Scikit-learn.• Experience with machine learning frameworks like Tensor Flow or PyTorch.• Strong SQL skills for querying and manipulating large datasets.• Familiarity with data visualization tools such as Matplotlib or Tableau.• Ability to work independently and manage multiple priorities in a fast-paced environment.<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 is fully remote, providing flexibility to work from anywhere.<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!

Enterprise Data Architect – AI & Databricks We are looking for an experienced Data Architect with 10+ years of experience designing and delivering modern, enterprise-scale data platforms. The ideal candidate will have deep expertise in Databricks and cloud-native data architectures, with a proven track record of building scalable, high-performance data ecosystems. You will be responsible for designing end-to-end data platforms, including Medallion Lakehouse architectures, that support advanced analytics, machine learning, and AI-driven use cases. A strong background in AI is essential, with experience designing architectures that enable feature engineering, MLOps, and Generative AI workloads. You should be comfortable working across both architecture and engineering, translating complex business requirements into secure, scalable, and production-ready data solutions.<br><br>Key requirements 10+ years of experience in Data Architecture, Data Engineering, or related fields Proven expertise designing and implementing Databricks Lakehouse platforms, including Medallion (Bronze, Silver, Gold) architecture Strong experience with cloud-native data platforms, preferably on Microsoft Azure Hands-on experience designing data platforms that support AI, Machine Learning, and Generative AI use cases Deep understanding of data modelling, data governance, security, and enterprise-scale data platform design Experience with Delta Lake, data pipelines, ETL/ELT frameworks, and performance optimisation Ability to collaborate with engineering, analytics, and business stakeholders to deliver enterprise-wide data initiatives Excellent communication and stakeholder management skills with the ability to influence both technical and business audiences

Role: Senior Engineer - AI Platforms (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Engineer to develop and deploy AI models. The role involves designing, testing, and integrating AI solutions to enhance product capabilities. Candidates will work on scalable AI systems that support real-world applications.<br>Key Responsibilities:• Design, build, and optimize AI models using machine learning frameworks such as Tensor Flow or PyTorch.• Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows.• Evaluate and improve model accuracy, performance, and scalability through rigorous testing and validation.• Implement best practices for data preprocessing, feature engineering, and model training.• Document technical specifications, model performance metrics, and deployment procedures.<br>Required Skills & Qualifications:• Proficiency in machine learning frameworks such as Tensor Flow or PyTorch.• Experience with Python and libraries for data analysis and AI development.• Knowledge of neural network architectures and model training techniques.• Familiarity with cloud platforms such as AWS, GCP, or Azure for AI model deployment.• Strong problem-solving skills and the ability to optimize models for real-world performance.<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 work directly impacts product innovation and user experience.<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: Neuroscience Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $60 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a Neuroscience Expert to work on a contract basis. The role involves applying deep neuroscience knowledge to develop and refine AI models, ensuring alignment with human cognitive processes. Responsibilities include evaluating and optimizing neural architectures for performance and efficiency.<br>Key Responsibilities:• Design and implement neuroscience-based approaches to enhance AI model interpretability and functionality.• Collaborate with cross-functional teams to integrate neuroscience principles into machine learning pipelines.• Analyze neural network architectures for alignment with biological neural processes and cognitive models.• Conduct research to identify novel neuroscience-inspired techniques for improving AI systems.• Document methodologies and findings to support scalable implementation and knowledge sharing.<br>Required Skills & Qualifications:• Advanced degree in Neuroscience, Cognitive Science, or related field, or equivalent experience.• Proficiency in neural network architectures and their biological counterparts.• Experience applying neuroscience principles to AI model development.• Strong analytical skills with the ability to interpret complex biological and computational data.• Familiarity with machine learning frameworks such as Tensor Flow or PyTorch.<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 advancements in AI systems that mimic human cognition. The position requires a balance of theoretical neuroscience and practical AI implementation.<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: Senior Engineer - AI Platforms (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking an AI Engineer to develop and deploy AI models. The role involves designing, testing, and integrating AI solutions to enhance product capabilities. Candidates will work on scalable AI systems that support real-world applications.<br>Key Responsibilities:• Design, build, and optimize AI models using machine learning frameworks such as Tensor Flow or PyTorch.• Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows.• Evaluate and improve model accuracy, performance, and scalability through rigorous testing and validation.• Implement best practices for data preprocessing, feature engineering, and model training.• Document technical specifications, model performance metrics, and deployment procedures.<br>Required Skills & Qualifications:• Proficiency in machine learning frameworks such as Tensor Flow or PyTorch.• Experience with Python and libraries for data analysis and AI development.• Knowledge of neural network architectures and model training techniques.• Familiarity with cloud platforms such as AWS, GCP, or Azure for AI model deployment.• Strong problem-solving skills and the ability to optimize models for real-world performance.<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 work directly impacts product innovation and user experience.<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 Description This part-time Lead AI Engineer role at MDS Groupe Recrutement is a hybrid position based in Dubai, with flexibility for some work from home. The Lead AI Engineer will design and implement advanced AI solutions, oversee the development and integration of machine learning models, and guide technical decisions across projects. Day-to-day responsibilities include collaborating with cross-functional teams to define requirements, building and optimizing algorithms, reviewing code, ensuring scalability and performance of AI systems, and maintaining robust documentation. The role also involves mentoring team members, evaluating new AI technologies and tools, and ensuring that solutions align with business objectives and ethical AI practices.<br>Qualifications<br> Strong foundation in Computer Science and Software Development, including data structures, algorithms, and clean coding practices. Proficiency in Pattern Recognition and Neural Networks, with experience designing, training, and evaluating machine learning models. Hands-on expertise in Natural Language Processing (NLP), including working with modern NLP frameworks and large language models. Experience with Python or similar languages, ML/AI libraries (e.g., Tensor Flow, PyTorch, scikit-learn), and version control tools. Background in deploying AI solutions to production environments, working with cloud platforms, and optimizing models for performance. Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience. Ability to lead technical projects, mentor team members, communicate complex concepts clearly, and collaborate in a multicultural environment. Familiarity with data privacy, security best practices, and ethical considerations in AI development is highly beneficial.

Role Description This part-time Lead AI Engineer role at MDS Groupe Recrutement is a hybrid position based in Dubai, with flexibility for some work from home. The Lead AI Engineer will design and implement advanced AI solutions, oversee the development and integration of machine learning models, and guide technical decisions across projects. Day-to-day responsibilities include collaborating with cross-functional teams to define requirements, building and optimizing algorithms, reviewing code, ensuring scalability and performance of AI systems, and maintaining robust documentation. The role also involves mentoring team members, evaluating new AI technologies and tools, and ensuring that solutions align with business objectives and ethical AI practices.<br>Qualifications<br> Strong foundation in Computer Science and Software Development, including data structures, algorithms, and clean coding practices. Proficiency in Pattern Recognition and Neural Networks, with experience designing, training, and evaluating machine learning models. Hands-on expertise in Natural Language Processing (NLP), including working with modern NLP frameworks and large language models. Experience with Python or similar languages, ML/AI libraries (e.g., Tensor Flow, PyTorch, scikit-learn), and version control tools. Background in deploying AI solutions to production environments, working with cloud platforms, and optimizing models for performance. Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience. Ability to lead technical projects, mentor team members, communicate complex concepts clearly, and collaborate in a multicultural environment. Familiarity with data privacy, security best practices, and ethical considerations in AI development is highly beneficial.