Senior Machine Learning Engineer
Core
Design and implement generative AI systems, LLM-powered applications, and agentic workflows for life sciences clients.
Role type
Senior IC Machine Learning Engineer (GenAI)
Builds
Production GenAI systems, RAG pipelines, and agentic applications for genetic research and drug discovery.
Domain
Life Sciences / Generative AI
Deliverable
production ML models
Required skills
Python, PyTorch, HuggingFace, LangChain, LlamaIndex, AWS Bedrock, AWS SageMaker, RAG, Prompt Engineering, LLM Fine-tuning, Vector Search, Data Cleaning, Model Monitoring
Preferred skills
MLOps/LLMOps, MLFlow, LangFuse, Consultancy experience, Startup experience
Technologies
AWS, LangChain, LangGraph, LlamaIndex, smolagents, strands-agents, PyTorch, TensorFlow, scikit-learn, HuggingFace, MLFlow, LangFuse
Responsibilities
Design and build end-to-end generative AI systems; Implement RAG pipelines and agentic workflows; Lead client communications and gather requirements; Mentor junior ML engineers; Optimize solutions for performance, scalability, and cost within AWS; Drive architectural decisions and high-level planning.
Seniority
Senior, hands-on IC with mentorship responsibilities
