AI/ML Engineer

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