Machine Learning Scientist - GenAI, KIT
Core
Applied Scientist driving GenAI innovation to build Agentic AI systems, fine-tune LLMs for domain use cases, and create automated cloud optimization solutions.
Role type
Senior Applied Scientist (GenAI/ML)
Builds
Production ML systems, Agentic AI, fine-tuned LLMs, and automated cloud optimization tools for AWS customers.
Domain
Cloud computing, Generative AI, Large Language Models, Reinforcement Learning
Deliverable
production ML models
Required skills
PhD or Master's with 4+ years in CS/ML, 3+ years building models for business apps, algorithm design, numerical optimization, parallel/distributed computing, high-performance computing, Java/C++/Python programming
Preferred skills
PhD in quantitative field, professional software development experience
Technologies
Python, Java, C++, Large Language Models, Reinforcement Learning
Responsibilities
Lead and design technology from idea to live production system, build Agentic AI systems, fine-tune LLMs for specific domains, generate strategic insights from large datasets
Seniority
Senior, hands-on IC