AI 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. The ideal candidate will have experience with Generative AI, NLP, and Deep Learning.
Key Highlights
Generative AI and NLP development
Model engineering and deployment
Code quality and governance
Problem-solving and analytical skills
Communication with data science team members and business stakeholders
Technical Skills Required
Benefits & Perks
Fully remote work permitted
Collaboration with both US and India teams
Job Description
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