Job Title

Role SummaryWe 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 & ResponsibilitiesGenerative 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 & SkillsCore 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 QualificationsBS, MS, or PhD in Computer Science, Computational Biology, or AI/ML.2+ Years specifically within the Pharmaceutical or Biotech industry3+ Years building and deploying ML, NLP and Gen AI applications.3+ Years hands-on programming in Python/R/Bash.Other DetailsLocation: IndiaWork style: Fully remote work permittedTeams: Collaboration with both US and India teams