Description

You will design, build, and operate machine learning and AI solutions for U.S. HCP Field Engagement initiatives.

This role is on-site.

Responsibilities

• Deliver end-to-end ML/AI solutions from problem definition through deployment and monitoring.
• Build and deploy NLP and LLM-based solutions, including RAG pipelines and prompt engineering.
• Develop scalable APIs and services for model serving using FastAPI or Flask.
• Implement MLOps practices including experiment tracking, CI/CD, model versioning, and drift monitoring.
• Collaborate with cross-functional teams to ensure solutions meet business and regulatory requirements.

Required Skills

• 5+ years of experience in applied machine learning, AI, or data science software development.
• Strong proficiency in Python with hands-on experience in PyTorch, TensorFlow, Scikit-learn, and Hugging Face.
• Proven experience building and deploying production-grade ML services and APIs.
• Practical MLOps experience, including CI/CD pipelines (e.g., GitHub Actions) and model registries.
• Hands-on experience with LLM workflows: prompt design, fine-tuning, embeddings, and vector databases.
• Solid SQL skills for data wrangling and feature engineering.
• Experience with AWS, Docker, and Kubernetes.

Key Skills

Education

Any Graduate