NLP Engineer

About the role

Zimmer Biomet runs on text. Regulatory submissions, clinical evaluation reports, complaint records, quality documentation, surgical technique guides, contracts, and support tickets all hold information that people currently find by reading. The Enterprise AI team builds the systems that read it for them.

What you'll do

• LLM and Generative AI Engineering
• Design and build retrieval augmented generation pipelines, including chunking strategy, embedding selection, vector storage, retrieval tuning, and reranking
• Develop and maintain prompt and context engineering for production use cases, treating prompts as versioned, tested artefacts rather than ad hoc text
• Build agent and tool-calling workflows where a single model call is insufficient, including task decomposition, tool integration, and failure handling
• Build evaluation harnesses for generative systems, covering groundedness, factual accuracy, hallucination rate, refusal behaviour, latency, and cost per request

What you need

• 3–5 yrs of experience
• NLP
• Python
• SQL
• Machine learning
• LLMs
• Scikit-learn
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• MLOps
• Pandas
• Prompt engineering
• PyTorch
• TensorFlow
• Azure