AI/ML Engineer

Job Title: AI/ML Engineer

Location : Remote

Role Summary

We are seeking a hands-on AI/ML Engineer to accelerate our data science initiatives. The ideal candidate will bridge the gap between computational biology and enterprise-grade software engineering. 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.

Total experience - 5 years

2+ Years specifically within the Pharmaceutical or Biotech industry

2+ Years building and deploying ML, NLP and Gen AI applications.

2+ Years hands-on programming in Python/R/Bash.