AI Machine Learning Scientist
Core
Design, develop, evaluate, and operationalize AI and machine learning solutions, including Generative AI, LLMs, RAG, and agent-based systems, to enable responsible and scalable AI adoption across the enterprise.
Role type
Senior IC AI Machine Learning Scientist
Builds
Production-ready AI capabilities, reusable pipelines, evaluation frameworks, and governance processes for enterprise platforms
Domain
Healthcare / Enterprise AI
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, LangChain, LangGraph, LlamaIndex, Hugging Face, vector databases, semantic retrieval, prompt orchestration, agentic workflows, MLOps, CI/CD, model monitoring, bias testing, explainability
Preferred skills
LLM/SLM production deployment, RAG system design, AI agent architecture, automated evaluation frameworks, cloud-native scalable pipelines, AI code review, regulated industry AI experience
Technologies
PyTorch, TensorFlow, LangChain, LangGraph, LlamaIndex, Hugging Face, vector databases
Responsibilities
Design and deploy AI/ML and Generative AI solutions at enterprise scale; Build and maintain infrastructure and pipelines connecting structured and unstructured data; Develop reusable AI capabilities including RAG pipelines and agentic workflows; Implement evaluation frameworks and automated testing for model quality and safety; Establish monitoring, observability, and governance processes for production reliability; Collaborate with engineering and product teams to integrate AI into enterprise platforms; Drive adoption of Responsible AI practices through audit-ready documentation and controls; Optimize AI systems for scalability, latency, and cost efficiency.
Seniority
Senior, hands-on IC