Gen AI Data Scientist

About Tata Consultancy Services

Tata Consultancy Services (TCS) is an IT services, consulting, and business solutions organization with over 50 years of experience partnering with global businesses in their transformation journeys. TCS delivers a consulting-led, cognitive-powered, integrated portfolio of business, technology, and engineering services and solutions through its unique Location Independent Agile™ delivery model. As part of the Tata group, India's largest multinational business group, TCS operates globally with a diverse workforce of over 616,171 consultants across 53 countries.

Role Overview: Gen AI Data Scientist

Tata Consultancy Services is seeking a Gen AI Data Scientist to join its team in Dhahran, Saudi Arabia. This full-time role focuses on the hands-on implementation of advanced AI solutions, specifically in Generative AI, Agentic AI, and Time Series Machine Learning models. The successful candidate will contribute to the design, development, and deployment of production-grade AI solutions.

Key Responsibilities

• Design and deploy Generative AI solutions utilizing Large Language Models (LLMs), Retrieval Augmented Generation (RAG), embeddings, vector databases, and prompt engineering techniques.
• Build Agentic AI applications, including multi-agent workflows, tool calling, and memory management, using frameworks such as Lang Graph, Lang Chain, Crew AI, and Auto Gen.
• Develop and deploy Time Series forecasting and anomaly detection models.
• Implement production deployments using Python, Fast API, ML flow, Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, GCP, or Azure).

Required Skills and Technologies

• Proficiency in Generative AI concepts and tools: LLMs, RAG, embeddings, vector databases, and prompt engineering.
• Experience with Agentic AI frameworks: Lang Graph, Lang Chain, Crew AI, Auto Gen, including multi-agent workflows, tool calling, and memory.
• Expertise in Time Series Machine Learning for forecasting and anomaly detection.
• Strong skills in production deployment technologies: Python, Fast API, ML flow, Docker, Kubernetes, and CI/CD.
• Familiarity with major cloud platforms: AWS, GCP, or Azure.

Experience Requirements

• A minimum of 5 to 10 years of professional experience in AI engineering or data science roles.
• Proven track record of end-to-end implementation and deployment of production-grade AI solutions.

Work Type and Location

This is a full-time position based in Dhahran, Saudi Arabia. The role requires a hands-on approach to developing and deploying advanced AI systems within a professional IT services environment.