Data Scientist is expected to design, develop, implement scalable ML, GenAI, and Agentic AI solutions aligned with business goals, lead a team, and ensure code/delivery quality.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
Key Responsibilities
- Create integration architectures and define standards that match emerging GenAI trends to drive innovation, efficiency, and competitive advantage.
- Integrate AI/LLM Models into Applications/APIs and optimize workflows with GenAI tools.
- Lead technical discussions and mentor junior team members.
- Design solutions and implement ML, generative AI, and agentic AI models and algorithms, utilizing state-of-the-art algorithms.
- Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
- Research the latest advancements in generative AI, machine learning, and deep learning techniques, identifying opportunities to integrate them into products and services.
- Develop and maintain AI pipelines, including data pre-processing, feature extraction, model training, and evaluation.
- Manage delivery across pods building scalable AI and API services.
- Drive backend deployment, security reviews, and QA pipelines.
- Troubleshoot and resolve issues related to AI models and implementations.
Skills and Qualifications
- A master's or bachelor's degree in computer science engineering.
- 10 to 12 years of experience in the IT Industry and up to 3 years of experience in GenAI, Agentic AI Solutioning, and Implementation.
- Minimum 2 years of experience in Datarobot for architecting and building GenAI Solutions, RAG Agents, and Deployment.
- Mentor-first mindset, delivery-driven, team player, and excellent communicator.
- Knowledge of access control, deployment integrity, secure endpoints, and compliance awareness.
- Experience in designing, developing, and deploying Cloud and On-Premises GenAI Solutions.
