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Data Scientist

TE Connectivity India Pvt Ltd

Bengaluru/Bangalore

Not disclosed

Work from Office

Full Time

Min. 3 years

Job Details

Job Description

Lead Data Scientist

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Overview

Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way.

Roles & Responsibility:

We’re looking for a hands-on technical leader who can drive our GenAI roadmap across RAG systems, agent-based workflows, and LLM fine-tuning, while mentoring a high-performing engineering team.

What You’ll Lead & Build:

End-to-end GenAI architecture (RAG, agentic workflows, production-grade serving)
Prompt engineering standards and context optimization
LLM fine-tuning (Full fine-tuning, LoRA, QLoRA, RLHF)
Framework selection and implementation (LangChain, LlamaIndex, Haystack)
Vector search and embeddings best practices (Pinecone, Weaviate, Milvus, ChromaDB)
Guardrails including hallucination mitigation, safety, memory/state management, and tool calling

Key Responsibilities:

Provide technical leadership for the GenAI team (architecture + hands-on delivery)
Conduct code reviews and mentor junior engineers
Collaborate with stakeholders and communicate technical decisions clearly
Participate in on-call rotation (1 week per month)
Drive research and innovation to stay ahead of industry trends

Key Deliverables:

RAG architecture design
Agent framework selection
Prompt engineering best practices
Technical design and architecture documentation

Desired Candidate Profile:

What We’re Looking For:

5–8 years of experience in ML, NLP, or AI
(MS/PhD preferred; strong BS background with relevant experience is acceptable)
2+ years of hands-on experience with LLMs, transformers, and RAG-based systems
Strong production experience with Python, PyTorch/TensorFlow, FastAPI/Flask
Experience with platforms such as OpenAI, Anthropic, Cohere, Azure OpenAI, or AWS Bedrock

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

ABOUT TE CONNECTIVITY

TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.

Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).

WHAT TE CONNECTIVITY OFFERS:
We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority!

Unlimited contract opportunity
Pleasant working environment fostering teamwork
Open and dynamic company culture
Extensive training initiatives and growth opportunities
Competitive salary package
Comprehensive benefits including Group insurance, Hospitalization insurance, Meal vouchers etc.
Convenient location at E40 and E403 motorway intersection
Join a certified "TOP EMPLOYER" in a modern "FACTORY OF THE FUTURE"

IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.

Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.