Senior Specialist, Digital Reg Docs Tech Lead

Merck & Co., Inc.

Hyderabad, India
Hybrid
Generative ai and large language models
Retrieval-augmented generation (rag) implementation
Python programming and ml frameworks
The role involves redefining the art of the possible by developing and testing Generative AI software solutions integrated with R&D enterprise applications

Job Summary

  • The role involves redefining the art of the possible by developing and testing Generative AI software solutions integrated with R&D enterprise applications.
  • Candidates will own end-to-end model integration, data engineering, and application development while ensuring secure, scalable AI solutions in a regulated environment.
  • The position requires mentoring data scientists and engineers to foster a culture of curiosity, learning, and experimentation within a global healthcare mission.

Matching Summary

The role involves redefining the art of the possible by developing and testing Generative AI software solutions integrated with R&D enterprise applications.

Skills & Requirements

Must-have

  • Generative AI and Large Language Models
  • Retrieval-Augmented Generation (RAG) implementation
  • Python programming and ML frameworks
  • Data pipeline and ETL development
  • MLOps and model CI/CD practices
  • Vector databases and semantic search
  • AWS cloud and container orchestration

Nice-to-have

  • Pharma domain and GxP compliance knowledge
  • Prompt engineering and instruction tuning
  • Red-team testing and model explainability
  • TypeScript and React frontend integration
  • Cross-functional team collaboration skills
  • Mentoring engineers and data scientists

Key Requirements

  • Bachelor's degree in Computer Science or Technology Stream
  • 7+ years of software engineering experience
  • Hands-on experience with AI/ML systems and data engineering
  • Proficiency in Python, PyTorch, TensorFlow, or Hugging Face
  • Experience with vector databases and semantic search technologies
  • Familiarity with model serving and ML Ops tools
  • Strong backend development skills with APIs and microservices

Work Rights

Not specified

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