Senior AI/ML Engineer

We'll trust you to:

Design and implement AI/ML pipelines that solve real-world problems in life sciences (e.g., territory alignment, rep scheduling, patient segmentation, incentive compensation optimization).

Work closely with domain consultants to understand client requirements and develop tailored AI solutions.

Lead efforts in data ingestion, feature engineering, and model development across structured and unstructured data sources (e.g., sales data, KOL feedback, medical claims).

Build and deploy scalable AI services and LLM-based copilots (e.g., for field force, MSLs, or commercial analytics teams).

Implement GenAI and Agentic AI frameworks for commercial automation.

Conduct technical reviews and provide mentoring to junior AI team members.

Collaborate with DevOps and cloud teams to deploy models on AWS/Azure.

Present technical concepts and outcomes to internal stakeholders and client teams.

You'll need to have:

At least 7 years of experience in AI/ML engineering.

Proficient in Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow, LangChain, Hugging Face).

Experience building and deploying machine learning models in production.

Strong understanding of MLOps tools and practices (e.g., MLflow, Docker, Git, CI/CD).

Exposure to LLMs, transformers, and retrieval-augmented generation (RAG) techniques.

Experience working with cloud environments (AWS, Azure preferred, Databricks).

Excellent communication skills with the ability to explain complex technical ideas to non-technical stakeholders.

Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field.