Senior Machine Learning Engineer
Core
Design and implement generative AI systems, LLM-powered applications, and agentic workflows for life sciences clients, including BioLM models and genetic research tools.
Role type
Senior Machine Learning Engineer (GenAI/LLM)
Builds
Production GenAI systems, RAG pipelines, and agentic workflows for life sciences clients
Domain
Life Sciences / Generative AI
Deliverable
production ML models | product features
Required skills
Python, PyTorch, HuggingFace, TensorFlow, Transformers, LangChain, LangGraph, LlamaIndex, smolagents, AWS Bedrock, AWS SageMaker, RAG, prompt engineering, LLM fine-tuning, data cleaning, model evaluation, containerization, orchestration
Preferred skills
MLOps/LLMOps, MLFlow, LangFuse, consultancy environment experience, startup mindset
Technologies
AWS, LangChain, LangGraph, LlamaIndex, smolagents, strands-agents, PyTorch, HuggingFace, TensorFlow, Transformers, scikit-learn, MLFlow, LangFuse
Responsibilities
Design and build end-to-end generative AI systems and LLM applications; implement RAG pipelines and agentic workflows; establish evaluation frameworks and production monitoring; wrangle, explore, and visualize data; deploy and maintain ML models and pipelines; analyze model errors and design optimization strategies; drive architectural decisions and high-level planning; mentor junior ML engineers; lead client communications and manage project expectations
Seniority
Senior, hands-on IC with mentorship responsibilities