Senior AI/ML Engineer - Pharmaceutical Applications

Role Summary

We are seeking a hands-on AI/ML Engineer to accelerate our data science initiatives. You will be responsible for end-to-end development from structuring complex pharmaceutical problems to deploying robust Generative AI and Deep Learning models into production.

Job Duties & Responsibilities

• Generative AI & NLP Development: Architect and deploy Generative AI applications and NLP pipelines tailored for pharmaceutical use cases.
• Model Engineering: Build, train, and validate classification and regression models using AI/ML techniques.
• Production Deployment: Transition models from testing to production-ready enterprise applications using CI/CD pipelines and containerization.
• Code Quality & Governance: Experience with code reviews, version control (Git) standards, and developing product technical documentation for all AI/ML/GenAI workflows.
• Problem Solving & Analytical Skills: Translate biological/pharmaceutical questions into solvable, structured computational frameworks.
• Communication Skills: Proactively communicate with data science team members and various business stake holders. 

Technical Stack & Skills

• Core Languages: Python, R, Bash.
• AI/ML Domain: Natural Language Processing (NLP), Deep Learning (PyTorch/TensorFlow), Generative AI (LLMs, RAG architectures). 
• Engineering Ops: Git, CI/CD pipelines, Enterprise containerization tools including Kubernetes, EKS, Docker and ECR 
• Domain Knowledge: Pharma R&D, clinical or commercial experience.
• Cloud Services: AWS: S3, Lambda, Bedrock API’s 

Qualifications

• BS, MS, or PhD in Computer Science, Computational Biology, or AI/ML.
• 2+ Years specifically within the Pharmaceutical or Biotech industry
• 3+ Years building and deploying ML, NLP and Gen AI applications.
• 3+ Years hands-on programming in Python/R/Bash.

Other Details

• Location: India
• Work style: Fully remote work permitted
• Teams: Collaboration with both US and India teams