Data Science Engineer

We are seeking a highly skilled and independent Data Science Engineer to join our team for a high-impact contract opportunity. In this role, you will design, build, and deploy advanced AI/ML, NLP, and Generative AI solutions tailored for the Healthcare and Life Sciences domain. The ideal candidate brings a strong mix of statistical reasoning, advanced engineering (LLMs/MLOps), and deep experience handling complex clinical data, * AI/LLM Development: Design and implement Generative AI solutions using frameworks like LangChain, LlamaIndex, or CrewAI.

• Model Engineering: Build, train, and evaluate traditional machine learning models (Scikit-learn, XGBoost) and advanced NLP pipelines.
• Production Deployment: Develop robust, scalable ML APIs using FastAPI and deploy them into production environments.
• MLOps & Infrastructure: Implement MLOps best practices using Docker, Terraform, GitHub Actions, and Azure DevOps for automated CI/CD pipelines.
• Cloud Engineering: Manage and optimize data and model pipelines natively within AWS (ECS, Lambda, S3).
• Data Evaluation: Apply rigorous model validation techniques and evaluation metrics to ensure safety, accuracy, and compliance.

• Experience: 2+ years of professional Data Science and Machine Learning experience.
• Core Language: Expert-level proficiency in Python.
• Generative AI: Hands-on experience with LLMs, Prompt Engineering, and RAG frameworks (LangChain, LlamaIndex, etc.).
• Core ML: Strong command over Scikit-learn, XGBoost, and statistical reasoning.
• API Development: Proven experience building backend services with FastAPI.
• Cloud & DevOps: Direct experience with AWS (ECS, Lambda, S3), Docker, and infrastructure-as-code (Terraform).
• CI/CD: Experience setting up pipelines in GitHub Actions or Azure DevOps.

Mandatory Healthcare Domain Experience:

• Domain Knowledge: Must have direct project experience within Healthcare & Life Sciences.
• Data Sources: Hands-on experience analyzing Real-World Data (RWD), Real-World Evidence (RWE), Claims, EHR/EMR, Clinical Data, and Patient Registries.
• Solutions: Prior track record of building and deploying functional Healthcare Analytics or medical AI/ML solutions