DATA SCIENTIST
TE Connectivity (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 18–35 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy AI/ML and Generative AI solutions impacting manufacturing, supply chain, forecasting, and enterprise productivity.
- Build production-grade machine learning models and scalable pipelines, including retrieval-augmented generation applications using vector databases and LLMs.
- Partner with business stakeholders to translate challenges into AI solutions, drive adoption, and measure business impact.
Minimum Requirements
- Strong Python programming and machine learning framework skills (TensorFlow, PyTorch).
- Experience with SQL and cloud platforms (Azure ML, Azure AI Foundry, Databricks, or AWS SageMaker).
- Hands-on experience with Generative AI (LLMs, RAG architecture, prompt engineering).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in delivering AI/ML solutions from ideation through production in manufacturing, supply chain, automotive, or enterprise analytics domains.
- Skilled at building complex AI systems involving data pipelines, model deployment, and MLOps.
- Able to work cross-functionally with global teams and translate business needs into technical AI solutions.