Dubai, Dubai, United Arab Emirates · On-site
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Dubai, Dubai, United Arab Emirates · Hybrid
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Dubai, Dubai, United Arab Emirates · On-site
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Dubai, Dubai, United Arab Emirates · On-site
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Dubai, Dubai, United Arab Emirates · On-site
Join Our Team at Eaton: Empowering Tomorrow, Today! Dubai serves as a strategic hub for Eaton’s Middle East operations, bringing together commercial, engineering, manufacturing, and support teams within a globally connec…
Skills: CAD, SPS, HMI-Systems, PLC Programming, Robotics
Dubai, Dubai, United Arab Emirates · On-site
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Skills: Industrial Automation, Mechanical Engineering, Robot Systems Integration, Predictive Maintenance, Root Cause Analysis
Dubai, Dubai, United Arab Emirates · Hybrid
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Dubai, Dubai, United Arab Emirates · Hybrid
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Dubai, Dubai, United Arab Emirates · On-site
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Dubai, Dubai, United Arab Emirates · On-site
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Dubai, Dubai, United Arab Emirates · Hybrid
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Dubai, Dubai, United Arab Emirates · On-site
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Dubai, Dubai, United Arab Emirates · Hybrid
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Dubai, Dubai, United Arab Emirates · Hybrid
Company Description Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work he…
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Dubai, Dubai, United Arab Emirates · Hybrid
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Dubai, Dubai, United Arab Emirates · On-site
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Dubai, Dubai, United Arab Emirates · On-site
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Dubai, Dubai, United Arab Emirates · On-site
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Dubai, Dubai, United Arab Emirates · On-site
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Dubai, Dubai, United Arab Emirates · On-site
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Design and deliver scalable AI, machine learning, and GenAI solutions to solve complex business problems. Collaborate with stakeholders to translate requirements into production-ready models and mentor junior team members.
Requires a Master's degree in a quantitative field and over 5 years of experience delivering data science solutions. Proficiency in Python, statistics, and MLOps is essential, with a preference for experience in telecommunications and cloud platforms.
We're looking for an experienced Senior Data Scientist to design and deliver data-driven solutions that solve complex business problems and create measurable impact.
Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions. From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.
What You'll Do❏ Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities
❏ Translate business requirements into scalable data science and machine learning solutions
❏ Validate data availability and define analytical approaches for new use cases
❏ Build predictive models, machine learning solutions, and GenAI applications
❏ Design robust data pipelines and analytical workflows
❏ Apply data processing, feature engineering, and statistical modelling techniques
❏ Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices
❏ Present analytical findings and recommendations to technical and executive stakeholders
❏ Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way
❏ Mentor junior team members and support technical delivery across multiple initiatives
You're Our Match If You Have❏ Master's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Software Engineering, or a related field
❏ 5+ years of hands-on experience delivering data science or machine learning solutions
❏ Strong Python programming skills and experience with modern data science libraries
❏ Experience building predictive models, machine learning solutions, and GenAI applications
❏ Strong understanding of statistics, data modelling, and feature engineering
❏ Experience designing scalable data pipelines and production-ready AI solutions
❏ Familiarity with MLOps, model deployment, and machine learning lifecycle management
❏ Excellent stakeholder management and communication skills
❏ Ability to translate complex technical concepts into business value
Bonus Points If You Have Experience With❏ Telecommunications or other customer-centric industries
❏ Large-scale customer analytics and segmentation
❏ Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
❏ Cloud platforms such as Azure, AWS, or Google Cloud
❏ Databricks, Spark, or distributed data processing
❏ Docker, Kubernetes, or CI/CD pipelines
❏ Leading or mentoring technical teams
We’re a bunch of brains who dream up and deliver brilliant digital products that people can’t help falling in love with.
We’re not a massive global agency. But we think like one. Only better. You want your customers to have an easier life, right? So you need to give them solutions that make their every day simpler, more in control, a bit more fun even? At Brainlake we spend our days doing just that. By ideating and crafting digital products and experiences that users can’t get enough of. Our CX, UX and UI teams are hot. And that’s not just because we’re based in sunny Dubai, UAE. You’ll like working with us, we promise. So, if you dream of personalised service from a world-class boutique agency that has delivered complex projects for some of the biggest clients in the region, stop scrolling and say hello to your new digital partner.
Offices: Al Bourouj St - Al Sufouh - Dubai Media City, Concord Tower, Office 1402, Dubai, AE
There are currently 532 open engineering positions in Dubai, United Arab Emirates listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Parsons Corporation, AECOM, Egis, Eaton, Marriott International Hotels, Inc., among others. Browse the listings above to see every active employer.
Yes — 75 of the 532 open engineering positions offer remote or hybrid work (18 remote, 57 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
