Machine Learning Engineer, AI Studio
Core
Design, build, and launch scalable AI products and automation solutions for enterprise business challenges, owning production ML/AI components from prototyping to deployment.
Role type
Senior Individual Contributor Machine Learning Engineer (GenAI & MLOps)
Builds
Production ML/AI components, inference services, data pipelines, retrieval systems, and bounded agents for enterprise use.
Domain
Life Sciences / Biotechnology / Generative AI
Deliverable
production ML models
Required skills
Python, SQL, Generative AI, RAG, bounded agents, MLOps/LLMOps, data pipeline engineering, model evaluation, cloud-native services
Preferred skills
PyTorch, TensorFlow, LangChain, Kubernetes, AWS, healthcare/GxP experience
Technologies
Python, SQL, PyTorch, TensorFlow, LangChain, LangGraph, LlamaIndex, AWS, Bedrock, SageMaker, Databricks, Spark, Kubernetes, MLflow, Airflow, GitHub Actions
Responsibilities
Define component boundaries and technical estimates; design and implement maintainable Python/SQL/API/data/model components; apply statistical methods and error analysis; build GenAI/RAG/agent components; engineer data and evaluation pipelines; release and support components using cloud services and CI/CD; apply security, privacy, and GxP controls.
Seniority
Senior, hands-on IC
