Associate – AI/ML Innovation Engineer
Core
Build next-generation AI-powered platforms for commercial, contracting, and patient access strategies, including AI copilots, intelligent contract systems, and real-time decision platforms.
Role type
Associate AI/ML Innovation Engineer
Builds
Production-grade AI systems, LLM-powered assistants, intelligent document/contract AI pipelines, data ingestion/transformation pipelines, and real-time APIs/dashboards.
Domain
Biotechnology / Pharmaceutical commercial operations
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, PySpark, SQL, Machine Learning (Regression, Classification, Clustering), NLP fundamentals, LLMs and GenAI workflows, data manipulation (Pandas, NumPy), REST APIs, MLOps basics
Preferred skills
RAG pipelines and vector databases, LangChain/LlamaIndex/agent frameworks, MLOps tools (Docker, CI/CD, MLflow), time-series forecasting, frontend basics (Streamlit, React), cloud platforms (AWS, Azure, GCP), Databricks
Technologies
Python, PySpark, SQL, Pandas, NumPy, OpenAI, HuggingFace, Anthropic, FAISS, Pinecone, Chroma, Weaviate, LangChain, LlamaIndex, AutoGen, CrewAI, Docker, MLflow, Kubeflow, Airflow, Streamlit, React, AWS, Azure, GCP, Databricks
Responsibilities
Build LLM-powered assistants with prompt engineering and RAG pipelines; extract and query insights from unstructured documents; develop data ingestion and feature engineering pipelines; build APIs and backend services for AI-driven insights; develop anomaly detection and forecasting models; translate business needs into technical specifications; participate in code reviews and MLOps best practices
Seniority
Junior to Mid-level, hands-on IC
