Machine Learning Engineer
Core
Build and improve machine learning solutions, specifically generative AI systems and agentic workflows, for life sciences clients.
Role type
Machine Learning Engineer (GenAI)
Builds
Generative AI systems, LLM-powered application features, agentic workflows, and information retrieval pipelines for life sciences clients.
Domain
Life Sciences / Generative AI
Deliverable
production ML models
Required skills
Python, LLM fine-tuning, prompt engineering, vector search, statistical ML algorithms, cloud ML services (AWS), containerization
Preferred skills
Agentic RAG, NLQ, MLOps/LLMOps, startup environment experience
Technologies
LangChain, LangGraph, LlamaIndex, AWS Bedrock, SageMaker, PyTorch, HuggingFace, TensorFlow, Transformers, MLFlow, LangFuse
Responsibilities
Build and maintain components of generative AI systems; build information retrieval pipelines; contribute to evaluation frameworks and production monitoring; wrangle, explore and visualize data; deploy, maintain and upgrade ML models and pipelines; write and maintain technical documentation.
Seniority
Mid-level, hands-on IC