Artificial Intelligence Engineer Jobs in UAE

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 Social Media Federal Government Sales Strategic Communications Vehicles DoDBookings Business Development Machine Learning Marketing Strategy Remote United States, United States Posted 30+ days ago Insights Service Strategic Communications Actionable Insights Journalism Marketing Machine Learning Legal Writing Written Communication Skills Analytics Newsletters Remote United States, United States Posted 30+ days ago Insights Service Digital Media Actionable Insights Product Analytics Legal Writing Machine Learning Analytics Social Media Written Communication Skills Attention to Detail Toronto Posted 30+ days ago B2BWebinars Content Marketing SEOActionable Insights Advertising Sales & Marketing Financial Services Financial technology Content Management Remote Remote Posted 30+ days ago ACHActionable Insights Infrastructure Financial Services Fraud Investment Portfolio Financial technology Automation Financial Management Escalation Toronto Posted 30+ days ago Actionable Insights Design 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 SQLDatabases Java Script Full Stack Development Remote New York, New York Posted 30+ days ago Amazon Web Services Identity & Access Management (IAM) Python Product Security Compliance Payroll SOC 2Infrastructure Type Script SQLRemote New York, New York Posted 30+ days ago Early-Stage B2BSales Prospecting Marketing Technology Financial technology Direct Sales Channel Partnership CRMBrand Management Sales Development Remote Posted 30+ days ago User Research Python Rendering ES6Distributed Systems NoSQLFirebase Cloud Services Analytics Google Cloud Platform Remote Remote, Remote, Canada, Remote Canada Posted 30+ days ago Engineering Python Datadog Microsoft Azure Cloud Native Pager Duty Distributed Systems Service Indexing Onboarding Cloud Services Remote Remote, Remote, Canada, Remote Canada Posted 30+ days ago Engineering Distributed Systems Data Extraction Data Structures Creative Solutions Networking Technologies Data Transformation Data Integration Machine Learning Algorithms Pager 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

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 Social Media Federal Government Sales Strategic Communications Vehicles DoDBookings Business Development Machine Learning Marketing Strategy Remote United States, United States Posted 30+ days ago Insights Service Strategic Communications Actionable Insights Journalism Marketing Machine Learning Legal Writing Written Communication Skills Analytics Newsletters Remote United States, United States Posted 30+ days ago Insights Service Digital Media Actionable Insights Product Analytics Legal Writing Machine Learning Analytics Social Media Written Communication Skills Attention to Detail Toronto Posted 30+ days ago B2BWebinars Content Marketing SEOActionable Insights Advertising Sales & Marketing Financial Services Financial technology Content Management Remote Remote Posted 30+ days ago ACHActionable Insights Infrastructure Financial Services Fraud Investment Portfolio Financial technology Automation Financial Management Escalation Toronto Posted 30+ days ago Actionable Insights Design 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 SQLDatabases Java Script Full Stack Development Remote New York, New York Posted 30+ days ago Amazon Web Services Identity & Access Management (IAM) Python Product Security Compliance Payroll SOC 2Infrastructure Type Script SQLRemote New York, New York Posted 30+ days ago Early-Stage B2BSales Prospecting Marketing Technology Financial technology Direct Sales Channel Partnership CRMBrand Management Sales Development Remote Posted 30+ days ago User Research Python Rendering ES6Distributed Systems NoSQLFirebase Cloud Services Analytics Google Cloud Platform Remote Remote, Remote, Canada, Remote Canada Posted 30+ days ago Engineering Python Datadog Microsoft Azure Cloud Native Pager Duty Distributed Systems Service Indexing Onboarding Cloud Services Remote Remote, Remote, Canada, Remote Canada Posted 30+ days ago Engineering Distributed Systems Data Extraction Data Structures Creative Solutions Networking Technologies Data Transformation Data Integration Machine Learning Algorithms Pager 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

Position: Artificial Intelligence (AI) Executive – Fresh Graduate Location: Sharjah Employment Type: Full-Time Nationality: UAE National (Emirati) with Family Book<br>Job Summary We are seeking a motivated and enthusiastic Artificial Intelligence (AI) Executive to join our team. This opportunity is ideal for a fresh graduate who is passionate about AI, machine learning, data analytics, and emerging technologies. The selected candidate will support the implementation of AI-driven solutions, process automation initiatives, data analysis projects, and digital transformation activities across the organization. Key Responsibilities Assist in the development, testing, and implementation of AI and machine learning solutions. Support data collection, cleansing, validation, and analysis for AI projects. Conduct research on emerging AI technologies, tools, and industry trends. Assist in creating AI-powered reports, dashboards, and business insights. Collaborate with various departments to identify opportunities for automation and process improvement. Support the integration of AI applications into existing business processes. Prepare project documentation, user guides, and technical reports. Monitor AI system performance and provide recommendations for enhancements. Participate in digital transformation and innovation initiatives. Ensure compliance with company policies, data privacy, and information security requirements. Qualifications & Requirements UAE National (Emirati) with a valid Family Book. Bachelor's Degree in Artificial Intelligence, Computer Science, Data Science, Information Technology, Software Engineering, Computer Engineering, or a related field. Fresh graduates are encouraged to apply. Basic understanding of Artificial Intelligence, Machine Learning, Data Analytics, and Automation concepts. Familiarity with AI tools, data visualization platforms, and Microsoft Office applications. Strong analytical and problem-solving skills. Good communication and presentation skills. Ability to learn quickly and work effectively in a team environment. Proactive, innovative, and eager to explore new technologies.

Position: Artificial Intelligence (AI) Executive – Fresh Graduate Location: Sharjah Employment Type: Full-Time Nationality: UAE National (Emirati) with Family Book<br>Job Summary We are seeking a motivated and enthusiastic Artificial Intelligence (AI) Executive to join our team. This opportunity is ideal for a fresh graduate who is passionate about AI, machine learning, data analytics, and emerging technologies. The selected candidate will support the implementation of AI-driven solutions, process automation initiatives, data analysis projects, and digital transformation activities across the organization. Key Responsibilities Assist in the development, testing, and implementation of AI and machine learning solutions. Support data collection, cleansing, validation, and analysis for AI projects. Conduct research on emerging AI technologies, tools, and industry trends. Assist in creating AI-powered reports, dashboards, and business insights. Collaborate with various departments to identify opportunities for automation and process improvement. Support the integration of AI applications into existing business processes. Prepare project documentation, user guides, and technical reports. Monitor AI system performance and provide recommendations for enhancements. Participate in digital transformation and innovation initiatives. Ensure compliance with company policies, data privacy, and information security requirements. Qualifications & Requirements UAE National (Emirati) with a valid Family Book. Bachelor's Degree in Artificial Intelligence, Computer Science, Data Science, Information Technology, Software Engineering, Computer Engineering, or a related field. Fresh graduates are encouraged to apply. Basic understanding of Artificial Intelligence, Machine Learning, Data Analytics, and Automation concepts. Familiarity with AI tools, data visualization platforms, and Microsoft Office applications. Strong analytical and problem-solving skills. Good communication and presentation skills. Ability to learn quickly and work effectively in a team environment. Proactive, innovative, and eager to explore new technologies.

Position: Artificial Intelligence (AI) Executive – Fresh Graduate Location: Sharjah Employment Type: Full-Time Nationality: UAE National (Emirati) with Family Book<br>Job Summary We are seeking a motivated and enthusiastic Artificial Intelligence (AI) Executive to join our team. This opportunity is ideal for a fresh graduate who is passionate about AI, machine learning, data analytics, and emerging technologies. The selected candidate will support the implementation of AI-driven solutions, process automation initiatives, data analysis projects, and digital transformation activities across the organization. Key Responsibilities Assist in the development, testing, and implementation of AI and machine learning solutions. Support data collection, cleansing, validation, and analysis for AI projects. Conduct research on emerging AI technologies, tools, and industry trends. Assist in creating AI-powered reports, dashboards, and business insights. Collaborate with various departments to identify opportunities for automation and process improvement. Support the integration of AI applications into existing business processes. Prepare project documentation, user guides, and technical reports. Monitor AI system performance and provide recommendations for enhancements. Participate in digital transformation and innovation initiatives. Ensure compliance with company policies, data privacy, and information security requirements. Qualifications & Requirements UAE National (Emirati) with a valid Family Book. Bachelor's Degree in Artificial Intelligence, Computer Science, Data Science, Information Technology, Software Engineering, Computer Engineering, or a related field. Fresh graduates are encouraged to apply. Basic understanding of Artificial Intelligence, Machine Learning, Data Analytics, and Automation concepts. Familiarity with AI tools, data visualization platforms, and Microsoft Office applications. Strong analytical and problem-solving skills. Good communication and presentation skills. Ability to learn quickly and work effectively in a team environment. Proactive, innovative, and eager to explore new technologies.

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.

Safran. AI - Artificial Intelligence operating in the real world<br><br>A subsidiary of Safran Electronics & Defense, Safran. AI designs AI solutions applied to complex data such as high-resolution satellite imagery, FMV (Full Motion Video) streams, and acoustic signals. These solutions rely on advanced algorithms capable of automatically detecting and identifying objects of interest in the fields of intelligence, defense, and aerospace.<br><br>Since joining the Safran Group in September 2024, Safran. AI has also been contributing to the Group’s transformation by applying AI solutions to Industry 4.0 challenges. For example, AI-powered automated image analysis can support inspectors responsible for checking critical components by helping them detect potential anomalies from digital images.<br><br>With a team of 250 employees, you will join passionate and multidisciplinary teams bringing together some of the most recognized talents in the industry, all driven by the same commitment to excellence and technological innovation.<br><br>Key Challenges of the Role <br><br>As a Forward Technical Representative based in Abu Dhabi, you are the primary technical point of contact for our prospects, clients, and partners in the Middle East and North Africa region. Thanks to your experience with defence and intelligence solutions, you are able to independently demonstrate the value of Safran. AI solutions, from both a technical and functional standpoint.<br><br>Working alongside a Sales Manager also based in Abu Dhabi, you lead the technical scoping of business opportunities in order to propose high value-added solutions In close collaboration with the Product, Engineering, Deployment, and Support teams, you drive the delivery of commitments made, ensure the quality of deliverables, and contribute to the implementation of high value-added solutions, fully aligned with our clients’ challenges and needs. <br><br>Your Activities And Responsibilities
<br><br>In Support Of Business Development Ambitions<br><br>Engages with prospects to understand their business challenges, operational needs, and desired outcomes, translating them into functional requirements Designs economically viable solutions, aligned with business objectives and technical constraints, drawing on in-depth knowledge of Safran. AI’s existing products, technologies, and expertise Collaborates with the engineering teams to build and validate business proposals Builds trusted relationships with clients by sharing Safran. AI’s defence and intelligence expertise and supporting stakeholders toward successful adoption of the solutions Identifies technical risks and, where necessary, mitigates them through proofs of concept. <br><br>During Project Execution<br><br>Technical lead for the engagement, ensuring engineering is aligned with the objectives Responsible for technical exchanges with clients, ensuring discussions are at the appropriate level and take business challenges into account End-to-end responsible for delivery, driving projects to completion on time, within budget, and to the expected quality level Continuously manages delivery planning, staffing requests, and risk management, adapting the roadmap to business constraints Provides progress updates, ensuring that risks and schedule changes are escalated promptly along with recommended mitigation measures Promotes and applies company methodologies, continuously identifying opportunities for improvement. <br><br>On the Tech Side  <br><br>Our development teams use robust technologies such as Python, Fast API, Typescript, Docker, Postgre SQL, Nomad, Kubernetes, Ansible, Terraform, Grafana, PyTorch, AWS, Notion, Slack We are first and foremost a software publisher, while also being fully capable of supporting our clients on integration and infrastructure challenges according to their needs. Our scope of intervention thus covers everything from providing ready-to-use Docker images to deploying a sovereign data centre, including the integration of our solutions within third-party systems such as GIS platforms, data platforms, or command software.  <br><br>About You<br><br>About<br><br>You are passionate about innovative technologies and client relationships, enjoy international environments, and wish to grow within the demanding and stimulating world of defence:<br><br>You have at least 5 years of professional experience, including a successful first experience as a Solution Engineer in the defence and intelligence field. Profiles such as Tech Lead, Engineering Manager, Architect, or Technical Project Manager with a solid track record and an affinity for client contact will also be considered with interest You have significant international exposure, ideally in the Middle East You are proficient in English, both written and spoken You have excellent communication and presentation skills You demonstrate strong organizational skills and autonomy Ideally, you have experience with internet-disconnected on-premises deployments, integrations within enterprise information systems, and the geospatial or defence sector. <br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Researcher — AI Architecture Research based in United Arab Emirates.<br><br>Join a research-driven team dedicated to advancing the next generation of artificial intelligence through innovative model architecture design. In this role, you'll explore novel approaches to machine learning, bridging cutting-edge theoretical research with practical deployment in production environments. You'll collaborate with experienced researchers and engineers to develop, evaluate, and optimize new AI architectures that push the boundaries of performance, scalability, and efficiency. This is an exciting opportunity for researchers who are passionate about publishing impactful work while seeing their ideas translated into real-world AI systems. If you thrive in a highly technical, fast-paced environment and enjoy tackling fundamental AI challenges, this role offers exceptional scope for innovation and professional growth.<br><br>Accountabilities<br><br>Research, design, and evaluate novel AI model architectures beyond traditional Transformer-based approaches. Investigate new techniques to improve model scalability, computational efficiency, training stability, and inference performance. Prototype innovative architectures and validate their effectiveness through rigorous experimentation, benchmarking, and ablation studies. Author and co-author high-quality research papers for leading machine learning conferences, journals, and preprint platforms. Collaborate closely with engineering teams to translate research breakthroughs into production-ready training and inference systems. Monitor emerging advancements in artificial intelligence research and identify promising directions for future innovation. Contribute to defining the long-term research roadmap and influence the evolution of next-generation AI models.<br><br>Requirements<br><br>Strong academic or industrial research background in machine learning, with a specialization in AI model architecture. Demonstrated publication record in recognized AI or machine learning venues such as Neur IPS, ICML, ICLR, COLM, ACL, EMNLP, or ar Xiv. Deep understanding of neural network architectures, sequence modeling, attention mechanisms, optimization techniques, and training dynamics. Hands-on experience developing machine learning models using PyTorch or JAX. Proven ability to design rigorous experiments, analyze results critically, and communicate research findings effectively. Comfortable working in a fast-moving, collaborative startup environment with a high level of ownership. Experience with non-Transformer architectures, long-context models, state-space models, hybrid architectures, or memory-efficient AI systems is highly valued. Familiarity with efficient training techniques, inference optimization, open-source research contributions, or production AI systems is considered an advantage.<br><br>Benefits<br><br>Fully remote position offering flexibility and autonomy. Competitive compensation package with meaningful equity participation. Opportunity to define research direction and influence next-generation AI architectures. Strong support for publishing impactful research in leading conferences and journals. Close collaboration between research and engineering, enabling rapid deployment of new ideas. Highly technical, research-focused team with a collaborative and innovative culture. Exposure to challenging AI problems with real-world impact and significant opportunities for professional growth.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Researcher — AI Architecture Research based in United Arab Emirates.<br><br>Join a research-driven team dedicated to advancing the next generation of artificial intelligence through innovative model architecture design. In this role, you'll explore novel approaches to machine learning, bridging cutting-edge theoretical research with practical deployment in production environments. You'll collaborate with experienced researchers and engineers to develop, evaluate, and optimize new AI architectures that push the boundaries of performance, scalability, and efficiency. This is an exciting opportunity for researchers who are passionate about publishing impactful work while seeing their ideas translated into real-world AI systems. If you thrive in a highly technical, fast-paced environment and enjoy tackling fundamental AI challenges, this role offers exceptional scope for innovation and professional growth.<br><br>Accountabilities<br><br>Research, design, and evaluate novel AI model architectures beyond traditional Transformer-based approaches. Investigate new techniques to improve model scalability, computational efficiency, training stability, and inference performance. Prototype innovative architectures and validate their effectiveness through rigorous experimentation, benchmarking, and ablation studies. Author and co-author high-quality research papers for leading machine learning conferences, journals, and preprint platforms. Collaborate closely with engineering teams to translate research breakthroughs into production-ready training and inference systems. Monitor emerging advancements in artificial intelligence research and identify promising directions for future innovation. Contribute to defining the long-term research roadmap and influence the evolution of next-generation AI models.<br><br>Requirements<br><br>Strong academic or industrial research background in machine learning, with a specialization in AI model architecture. Demonstrated publication record in recognized AI or machine learning venues such as Neur IPS, ICML, ICLR, COLM, ACL, EMNLP, or ar Xiv. Deep understanding of neural network architectures, sequence modeling, attention mechanisms, optimization techniques, and training dynamics. Hands-on experience developing machine learning models using PyTorch or JAX. Proven ability to design rigorous experiments, analyze results critically, and communicate research findings effectively. Comfortable working in a fast-moving, collaborative startup environment with a high level of ownership. Experience with non-Transformer architectures, long-context models, state-space models, hybrid architectures, or memory-efficient AI systems is highly valued. Familiarity with efficient training techniques, inference optimization, open-source research contributions, or production AI systems is considered an advantage.<br><br>Benefits<br><br>Fully remote position offering flexibility and autonomy. Competitive compensation package with meaningful equity participation. Opportunity to define research direction and influence next-generation AI architectures. Strong support for publishing impactful research in leading conferences and journals. Close collaboration between research and engineering, enabling rapid deployment of new ideas. Highly technical, research-focused team with a collaborative and innovative culture. Exposure to challenging AI problems with real-world impact and significant opportunities for professional growth.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Commissioning Site Inspector - CxA (Data Centre) Location: Dubai, UAE<br>About us At Core we believe that change is essential to growth and our new logos are reflections of our evolution as an organisation.<br>Operating under two specialised divisions, Core Emirates [for Commissioning Services] and Core International [for Project Management Services], we provide tailored services to meet the unique demands of diverse industry sectors. Core Group ME is the new central communication pathway.<br>Role Purpose The Commissioning Site Inspector supports commissioning delivery through site-based verification, inspections, and witnessing activities, ensuring installation and early commissioning works are completed correctly and safely.<br>This role is primarily site-focused and operates under the direction of a Commissioning Engineer or Senior Engineer.<br>Key Responsibilities:L2 – Installation Verification Inspect installed systems and equipment for compliance with drawings, specifications, and manufacturer requirements. Verify completion of installation checklists and raise defects where required. Confirm safe access, labelling, and readiness for energisation. L3 – Individual Element Commissioning Witness element-level commissioning activities. Verify local operation, alarms, interlocks, and safeties. Record results accurately and report issues to senior staff. L4 / L5 Support Support functional and integrated testing through observation and data capture. Assist with preparation of test areas and coordination on site.<br>Authority & Decision-Making No independent sign-off authority. Escalates issues and risks to the Engineer or Senior Engineer.<br>Typical Experience & Skills Ideally 5 years site-based experience in MEP or commissioning roles. Strong understanding of drawings and installations. High attention to detail and safety awareness.<br>Performance Measures Accuracy of inspections and records Quality of defect identification Compliance with safety procedures<br>We are committed to equal opportunities and welcome applications from all sections of the community.<br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analysing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Commissioning Site Inspector - CxA (Data Centre) Location: Dubai, UAE<br>About us At Core we believe that change is essential to growth and our new logos are reflections of our evolution as an organisation.<br>Operating under two specialised divisions, Core Emirates [for Commissioning Services] and Core International [for Project Management Services], we provide tailored services to meet the unique demands of diverse industry sectors. Core Group ME is the new central communication pathway.<br>Role Purpose The Commissioning Site Inspector supports commissioning delivery through site-based verification, inspections, and witnessing activities, ensuring installation and early commissioning works are completed correctly and safely.<br>This role is primarily site-focused and operates under the direction of a Commissioning Engineer or Senior Engineer.<br>Key Responsibilities:L2 – Installation Verification Inspect installed systems and equipment for compliance with drawings, specifications, and manufacturer requirements. Verify completion of installation checklists and raise defects where required. Confirm safe access, labelling, and readiness for energisation. L3 – Individual Element Commissioning Witness element-level commissioning activities. Verify local operation, alarms, interlocks, and safeties. Record results accurately and report issues to senior staff. L4 / L5 Support Support functional and integrated testing through observation and data capture. Assist with preparation of test areas and coordination on site.<br>Authority & Decision-Making No independent sign-off authority. Escalates issues and risks to the Engineer or Senior Engineer.<br>Typical Experience & Skills Ideally 5 years site-based experience in MEP or commissioning roles. Strong understanding of drawings and installations. High attention to detail and safety awareness.<br>Performance Measures Accuracy of inspections and records Quality of defect identification Compliance with safety procedures<br>We are committed to equal opportunities and welcome applications from all sections of the community.<br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analysing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Sign Up/Login <br> Jobs Adjunct Faculty in Business Analytics, AI &amp; Digital Transformation and Management Information Systems ADSM <br> <br><br> <p>To teach one course Introduction to Business Analytics, AI &amp; Digital Transformation, and Management Information Systems in the BScM program in the Fall 2026 term</p><br> <br> <strong>Responsibilities</strong> <ul> <li> <span>Teach undergraduate courses in Business Analytics, AI &amp; Digital Transformation, and Management Information Systems. </span> </li><li> <span>Develop course materials including syllabi, lectures, assignments, quizzes, and exams. </span> </li><li> <span>Explain key concepts such as data analysis, data visualization, business intelligence, artificial intelligence applications, digital transformation strategies, and information systems in organizations. </span> </li><li> <span>Introduce students to tools and techniques used in analytics and decision-making processes. </span> </li><li> <span>Guide students in applying data-driven approaches and digital technologies to real-world business problems. </span> </li><li> <span>Assess student performance fairly and consistently and provide constructive feedback. </span> </li><li> <span>Maintain academic integrity and ensure alignment with program learning outcomes and accreditation standards. </span> </li><li> <span>Support student learning through consultation, office hours, or online platforms. </span> </li> </ul> <br> <strong>Skills</strong> <ul> <li> <span>Minimum Master’s degree in Business Analytics, Information Systems, Data Science, Artificial Intelligence, or a closely related discipline (required). </span> </li><li> <span>University-level teaching experience in analytics, MIS, or digital transformation (preferred). </span> </li><li> <span>Strong ability to explain technical and data concepts to business students. </span> </li><li> <span>Proficiency with tools such as Excel, Power BI, Tableau, SQL, Python, or similar platforms. </span> </li><li> <span>Familiarity with AI applications in business contexts and emerging digital technologies. </span> </li><li> <span>Excellent communication and presentation skills. </span> </li><li> <span>Must currently reside in the UAE and hold own valid residency visa.</span> </li> </ul> <br> <br> </div>

Role: Machine Learning Researcher (Remote) Location: Remote (Work from Anywhere) Payout: Competitive<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Researcher to work on a contractor basis. This role involves contributing domain expertise to train and refine next-generation AI systems through high-quality, real-world input. The work directly shapes how models learn, reason, and perform across industries such as finance, healthcare, and engineering. Candidates need not have prior AI experience; domain knowledge is the primary value delivered.<br>Key Responsibilities:• Lead and conduct cutting-edge research in machine learning and artificial intelligence domains to advance model capabilities and performance.• Design, implement, and evaluate state-of-the-art deep learning algorithms using frameworks such as Tensor Flow and other relevant tools.• Collaborate closely with engineering teams to translate research breakthroughs into scalable, production-ready solutions with measurable impact.• Publish research findings in peer-reviewed venues and contribute actively to the global AI/ML scholarly community through conferences and open-source efforts.• Continuously monitor and integrate advancements from the research community to maintain the team at the forefront of technological innovation.• Document methodologies, experiments, results, and insights clearly for both technical and non-technical stakeholders to support knowledge sharing and decision-making.<br>Required Skills & Qualifications:• Domain expertise in a relevant field such as finance, healthcare, engineering, or other specialized domains, enabling high-quality contributions to AI training and evaluation.• Hands-on experience with deep learning frameworks including Tensor Flow, PyTorch, or equivalent, with proven ability to implement and optimize models.• Strong research acumen demonstrated through prior publications, technical reports, or contributions to open-source projects in machine learning or related areas.• Ability to design and execute experiments, analyze results using statistical and qualitative methods, and iterate toward robust, reproducible outcomes.• Clear communication skills with experience translating technical concepts for diverse audiences, including engineers, product teams, and external partners.• Familiarity with reinforcement learning environments, data annotation best practices, or human-in-the-loop AI systems is a strong plus.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing directly to the development of frontier AI models used by labs and enterprises worldwide. It provides global exposure to cutting-edge research environments and the chance to shape how AI systems learn and perform across critical domains. The flexible remote structure enables top talent to contribute meaningfully while maintaining alignment with the organization’s mission to scale human expertise for AI advancement.<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: Machine Learning Researcher (Remote) Location: Remote (Work from Anywhere) Payout: Competitive<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Researcher to work on a contractor basis. This role involves contributing domain expertise to train and refine next-generation AI systems through high-quality, real-world input. The work directly shapes how models learn, reason, and perform across industries such as finance, healthcare, and engineering. Candidates need not have prior AI experience; domain knowledge is the primary value delivered.<br>Key Responsibilities:• Lead and conduct cutting-edge research in machine learning and artificial intelligence domains to advance model capabilities and performance.• Design, implement, and evaluate state-of-the-art deep learning algorithms using frameworks such as Tensor Flow and other relevant tools.• Collaborate closely with engineering teams to translate research breakthroughs into scalable, production-ready solutions with measurable impact.• Publish research findings in peer-reviewed venues and contribute actively to the global AI/ML scholarly community through conferences and open-source efforts.• Continuously monitor and integrate advancements from the research community to maintain the team at the forefront of technological innovation.• Document methodologies, experiments, results, and insights clearly for both technical and non-technical stakeholders to support knowledge sharing and decision-making.<br>Required Skills & Qualifications:• Domain expertise in a relevant field such as finance, healthcare, engineering, or other specialized domains, enabling high-quality contributions to AI training and evaluation.• Hands-on experience with deep learning frameworks including Tensor Flow, PyTorch, or equivalent, with proven ability to implement and optimize models.• Strong research acumen demonstrated through prior publications, technical reports, or contributions to open-source projects in machine learning or related areas.• Ability to design and execute experiments, analyze results using statistical and qualitative methods, and iterate toward robust, reproducible outcomes.• Clear communication skills with experience translating technical concepts for diverse audiences, including engineers, product teams, and external partners.• Familiarity with reinforcement learning environments, data annotation best practices, or human-in-the-loop AI systems is a strong plus.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing directly to the development of frontier AI models used by labs and enterprises worldwide. It provides global exposure to cutting-edge research environments and the chance to shape how AI systems learn and perform across critical domains. The flexible remote structure enables top talent to contribute meaningfully while maintaining alignment with the organization’s mission to scale human expertise for AI advancement.<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: Machine Learning Researcher (Remote) Location: Remote (Work from Anywhere) Payout: Competitive<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Researcher to work on a contractor basis. This role involves contributing domain expertise to train and refine next-generation AI systems through high-quality, real-world input. The work directly shapes how models learn, reason, and perform across industries such as finance, healthcare, and engineering. Candidates need not have prior AI experience; domain knowledge is the primary value delivered.<br>Key Responsibilities:• Lead and conduct cutting-edge research in machine learning and artificial intelligence domains to advance model capabilities and performance.• Design, implement, and evaluate state-of-the-art deep learning algorithms using frameworks such as Tensor Flow and other relevant tools.• Collaborate closely with engineering teams to translate research breakthroughs into scalable, production-ready solutions with measurable impact.• Publish research findings in peer-reviewed venues and contribute actively to the global AI/ML scholarly community through conferences and open-source efforts.• Continuously monitor and integrate advancements from the research community to maintain the team at the forefront of technological innovation.• Document methodologies, experiments, results, and insights clearly for both technical and non-technical stakeholders to support knowledge sharing and decision-making.<br>Required Skills & Qualifications:• Domain expertise in a relevant field such as finance, healthcare, engineering, or other specialized domains, enabling high-quality contributions to AI training and evaluation.• Hands-on experience with deep learning frameworks including Tensor Flow, PyTorch, or equivalent, with proven ability to implement and optimize models.• Strong research acumen demonstrated through prior publications, technical reports, or contributions to open-source projects in machine learning or related areas.• Ability to design and execute experiments, analyze results using statistical and qualitative methods, and iterate toward robust, reproducible outcomes.• Clear communication skills with experience translating technical concepts for diverse audiences, including engineers, product teams, and external partners.• Familiarity with reinforcement learning environments, data annotation best practices, or human-in-the-loop AI systems is a strong plus.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing directly to the development of frontier AI models used by labs and enterprises worldwide. It provides global exposure to cutting-edge research environments and the chance to shape how AI systems learn and perform across critical domains. The flexible remote structure enables top talent to contribute meaningfully while maintaining alignment with the organization’s mission to scale human expertise for AI advancement.<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!

AI Content Moderator Role Description We are seeking an AI Content Moderator to review, evaluate, and moderate AI-generated and user-generated content to ensure compliance with platform policies, community standards, and responsible AI guidelines. This role is responsible for maintaining content quality, identifying policy violations, supporting AI model improvement, and contributing to a safe, accurate, and trustworthy digital environment. The successful candidate will review text, images, audio, video, and other digital content generated by users or artificial intelligence systems. You will evaluate content based on established moderation policies, identify inappropriate, harmful, misleading, or policy-violating material, and make consistent moderation decisions while maintaining accuracy, fairness, and confidentiality. Key responsibilities include reviewing AI-generated responses, validating content quality, classifying and labeling content, identifying misinformation, spam, hate speech, harassment, explicit material, fraudulent content, and other violations according to defined moderation guidelines. You will document moderation decisions, escalate complex cases when necessary, and provide detailed feedback that supports continuous improvement of AI systems and moderation processes. The role also involves supporting dataset quality assurance, performing content annotation, evaluating AI model outputs, monitoring moderation accuracy, identifying emerging content trends, and recommending improvements to moderation policies and workflows. You will collaborate closely with Trust & Safety teams, AI engineers, data scientists, policy specialists, and operations teams to improve moderation consistency, model performance, and overall platform integrity. You will maintain strict confidentiality while handling sensitive content and ensure moderation activities comply with legal requirements, organizational policies, and responsible AI principles. Success in this role requires excellent judgment, analytical thinking, attention to detail, emotional resilience, and the ability to make objective decisions in a fast-paced operational environment. This position offers the opportunity to contribute to the development of safe and responsible AI technologies by helping improve content quality, supporting ethical AI deployment, and protecting users across digital platforms. Qualifications Bachelor's degree or Diploma in Information Technology, Computer Science, Artificial Intelligence, Communications, Media Studies, Psychology, Linguistics, Business Administration, or a related discipline. Strong understanding of content moderation principles, Trust & Safety operations, and digital platform policies. Knowledge of generative AI, large language models (LLMs), AI-generated content, and responsible AI practices. Familiarity with content classification, annotation, data labeling, quality assurance, and moderation workflows. Ability to interpret and apply moderation guidelines consistently and make objective content review decisions. Understanding of online safety issues, misinformation, spam, fraud, hate speech, harassment, violent content, and harmful digital content. Strong analytical thinking, critical reasoning, and decision-making skills with excellent attention to detail. Excellent written and verbal communication skills with the ability to document moderation outcomes accurately. Familiarity with content management systems (CMS), moderation platforms, ticketing systems, or annotation tools is advantageous. Proficiency in Microsoft Office applications, particularly Excel, Word, Outlook, and reporting tools. Ability to prepare moderation reports, quality assurance documentation, and operational performance summaries. Understanding of privacy regulations, data protection principles, confidentiality requirements, and information security best practices. Strong organizational skills with the ability to manage high review volumes while maintaining consistency and accuracy. Ability to collaborate effectively with AI engineers, data scientists, policy teams, operations teams, and cross-functional stakeholders. High level of professionalism, integrity, and sound judgment when handling sensitive or confidential content. Emotional resilience and the ability to review potentially sensitive content while maintaining objectivity and adherence to established policies. Commitment to continuous learning and staying informed about evolving AI technologies, digital safety trends, and content moderation best practices. Proactive, responsible, and detail-oriented mindset with a strong commitment to maintaining platform integrity, user safety, and content quality.

Group Head – AI & Data Transformation<br>Job Purpose<br>The Group Head – AI & Data Transformation is responsible for leading the organization's enterprise-wide AI, digital, and data transformation strategy. The role focuses on leveraging artificial intelligence, automation, analytics, and data governance to improve operational efficiency, customer experience, decision-making, and business growth across all group companies.<br>Key Responsibilities<br>AI Strategy & Innovation<br>- Develop and execute the Group AI and Data Transformation roadmap.- Identify opportunities to implement AI across all business divisions.- Evaluate emerging AI technologies and recommend adoption strategies.- Build an innovation culture that embraces digital transformation.<br>Data Strategy & Governance<br>- Develop enterprise-wide data governance policies and standards.- Establish data quality, security, privacy, and compliance frameworks.- Create a centralized data architecture supporting all business units.- Define KPIs and executive dashboards for business performance.<br>Business Transformation<br>- Lead digital transformation initiatives across retail, distribution, FMCG, hospitality, real estate, and corporate functions.- Redesign business processes using AI and automation.- Identify cost optimization opportunities through intelligent automation.- Drive enterprise-wide digital adoption.<br>AI Applications<br>- Implement predictive analytics and forecasting models.- Introduce AI-powered customer service solutions.- Deploy demand forecasting and inventory optimization tools.- Implement pricing optimization and recommendation engines.- Utilize AI for HR analytics, recruitment, workforce planning, and employee engagement.- Drive finance automation including reporting and fraud detection.<br>Technology Leadership<br>- Collaborate with IT teams on cloud, data platforms, and AI infrastructure.- Evaluate AI vendors and technology partners.- Ensure cybersecurity and responsible AI practices.- Lead implementation of enterprise AI platforms.<br>Change Management<br>- Promote AI awareness and digital literacy across the organization.- Conduct executive workshops and user training.- Drive adoption through structured change management programs.<br>Leadership<br>- Build and lead a high-performing AI, analytics, and data team.- Manage budgets, vendor relationships, and transformation projects.- Report progress regularly to executive leadership and the Board.<br>Key Performance Indicators (KPIs)<br>- AI adoption across business units.- Cost savings through automation.- Productivity improvements.- Increase in revenue attributable to AI initiatives.- Reduction in manual processes.- Data quality and governance compliance.- User adoption rates.- Project delivery within budget and timeline.- Business process automation percentage.- Customer experience improvement metrics.- ROI on AI investments.- Employee digital capability improvement.<br>Qualifications<br>- Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Engineering, or Business Administration.- AI, Data Analytics, or Cloud certifications are preferred.<br>Experience<br>- 12–18 years of experience in digital transformation, AI, analytics, or enterprise technology.- At least 5 years in a senior leadership role.- Experience managing enterprise-wide transformation programs.- Exposure to retail, distribution, FMCG, hospitality, or real estate sectors is highly desirable.<br>Technical Skills<br>- Artificial Intelligence and Machine Learning- Generative AI platforms- Data Analytics and Business Intelligence- Data Warehousing and Data Governance- Cloud Platforms (AWS, Azure, Google Cloud)- Microsoft Power BI / Tableau- ERP systems (SAP, Oracle, Microsoft Dynamics)- Process Automation (RPA)- SQL and data management tech

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Senior Industrial Designer</p><br><br><br><p>Analog is looking for a designer who believes that the most precise technology in the world should also be the most beautiful. Not beautiful as decoration. Beautiful as expression of purpose, where every surface, radius, and material choice communicates exactly what the object is, what it does, and why it exists.</p><br><br><br><p>This is the role that defines how Physical Intelligence looks in the world.</p><br><br><br><p>You will set the visual and tactile language of Analog’s hardware: robots, sensors, and platforms built for real world deployment. You will work with deep engineering constraints and treat them not as limitations but as the raw material of great design. The best industrial designers in history never softened their vision because manufacturing pushed back. They solved it. That is the standard here.</p><br><br><br><p>What you’ll do</p><br><br><br><p>Define the Object</p><br><br><p>Lead industrial design for Analog’s physical hardware systems from first concept through production. You do not hand off to engineering. You work through the constraint with them, and your design intent survives to the end. You will develop the full visual and material language of each product: proportion, surfacing, CMF, and the logic of every physical interaction point.</p><br><br><br><p>Your portfolio shows objects that feel inevitable. That is the goal.</p><br><br><br><p>Own the Details</p><br><br><p>Develop production ready 3D models, engineering drawings, and CMF specifications with full command of tolerances, material behavior, and manufacturing process. You understand why a surface finish changes under different light conditions, why a parting line placement is a design decision, and why the gap between two panels communicates quality before the product is ever switched on.</p><br><br><br><p>DFM and DFA are not constraints on your vision. They are part of it.</p><br><br><br><p>Build It</p><br><br><p>Manage physical prototypes from rough form studies to production fidelity models. You evaluate your work in your hands, not on a screen. Field environments, demanding use conditions, and serviceability requirements sharpen your decisions. They do not compromise them.</p><br><br><br><p>Work at the Intersection</p><br><br><p>Collaborate directly with mechanical, electrical, and systems engineers. Attend supplier builds. Review tooling. Drive corrections in the field. Apply ergonomic and human factors principles to hardware that is operated in demanding conditions, designing controls, connectors, indicators, and access points with operational clarity and no ambiguity.</p><br><br><br><p>What you’ll bring</p><br><br><br><p>• 5 to 8 years of industrial design experience with a portfolio of physical products that have shipped and that are visually distinctive. Not functional. Distinctive.</p><br><br><p>• Degree in Industrial Design or equivalent demonstrated mastery of hardware design and manufacturing.</p><br><br><p>• Full proficiency in 3D CAD: SolidWorks, Rhino, Fusion 360, or equivalent. You model your own work.</p><br><br><p>• Working knowledge of injection molding, sheet metal, CNC, casting, and surface finishing.</p><br><br><p>• Hands on prototyping ability: comfortable in a lab or shop, evaluating work critically against functional requirements.</p><br><br><p>• A strong point of view, and the ability to defend it.</p><br><br><br><p>Nice to Have</p><br><br><p>• Experience designing hardware in robotics, wearables, or edge deployed devices.</p><br><br><p>• Familiarity with IP ratings, thermal management, and environmental sealing.</p><br><br><p>• Exposure to generative design or AI assisted design workflows.</p><br><br><br><p>Analog builds Physical Intelligence systems that operate where software alone cannot. The hardware is the product. It will be seen, handled, deployed, and judged by how it looks and feels before anyone reads a spec sheet.</p><br><br><br><p>If you design objects that make people stop, that is who we are looking for.</p><br><br><br><br> </div>

We are seeking an experienced Palantir Foundry / AIP Specialist to design, develop, and deploy enterprise AI and data solutions using Palantir Foundry and Palantir Artificial Intelligence Platform (AIP). The ideal candidate should have hands-on experience building data pipelines, Ontology models, AI-powered workflows, and integrating LLMs into enterprise applications.<br>Key Responsibilities Design and develop solutions using Palantir Foundry and Palantir AIP. Build and maintain data pipelines, Ontology models, and AI-powered workflows. Develop AI applications using AIP Logic, AI Agents, and workflow automation. Integrate enterprise systems (SAP, Oracle, CRM, APIs, SQL, Cloud) with Foundry. Implement LLM, RAG, and prompt engineering solutions for enterprise use cases. Collaborate with business stakeholders to translate requirements into scalable AI solutions. Ensure platform security, governance, performance, and documentation.<br>Required Skills5–10 years of IT experience with 2–3 years of hands-on experience in Palantir Foundry and Palantir AIP. Strong experience with Ontology, Pipeline Builder, Code Workspaces, Workshop, and Data Integration. Proficiency in Python, SQL, REST APIs, and cloud platforms (Azure, AWS, or GCP). Experience with LLMs, RAG, Prompt Engineering, AI Agents, and Enterprise AI. Good understanding of AI Governance, RBAC, Security, and Data Management. Strong analytical, problem-solving, and communication skills.<br>Preferred Qualifications Experience with Spark, Kafka, Snowflake, Databricks, or Microsoft Fabric. Knowledge of Docker, Kubernetes, Git, and CI/CD. Palantir, Azure, AWS, or GCP certifications are a plus.<br>Education Bachelor's or master's degree in computer science, Information Technology, Artificial Intelligence, Data Science, or a related field.