Description

We are seeking a highly motivated Data Scientist with expertise in machine learning, advanced analytics, and Generative AI technologies. The successful candidate will work with business stakeholders to translate complex business challenges into data-driven solutions and develop scalable analytical products that create measurable business impact.

This role requires solid analytical thinking, hands-on technical expertise, and the ability to stay current with evolving data science and AI technologies. The position is an individual contributor role with significant collaboration across business and technical teams.

Responsibilities
Key Roles and Responsibilities of Position:

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- Partner with business stakeholders to understand challenges, define analytical approaches, and translate business requirements into data science solutions.
- Analyze structured and unstructured datasets to identify trends, patterns, and actionable insights.
- Design, build, validate, and deploy machine learning and statistical models to support business decision-making.




- Develop Generative AI solutions leveraging prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and large language models.
- Build and deploy autonomous and multi-agent systems using frameworks such as Google Agent Development Kit (ADK), LangGraph, LangChain, or similar orchestration platforms.
- Design scalable data preparation, feature engineering, and data augmentation pipelines to improve model performance and robustness.
- Support end-to-end model lifecycle activities, including problem scoping, experimentation, model training, evaluation, deployment, monitoring, and optimisation.
- Ensure data quality, integrity, governance, and responsible AI practices throughout the analytics lifecycle.
- Stay informed about emerging developments in machine learning, data science, Generative AI, and analytics methodologies, and apply relevant innovations to business challenges.
- Communicate analytical

📌 Data Scientist (Chennai)
🏢 Ford Motor
📍 Chennai