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