Top Data & Analytics Jobs in Boston, MA

Develop and orchestrate intelligent agent frameworks, handle AI lifecycle stages, and collaborate on enhancing user experiences with machine learning solutions.

The Machine Learning Engineer II will develop intelligent agent frameworks, validate AI outputs, and build scalable systems for data insights, focusing on NLP and machine learning applications. They will work through the entire ML lifecycle and collaborate with various teams.

As a Machine Learning Engineer, you will develop intelligent agent frameworks, validate AI outputs, and integrate advanced ML systems to drive data insights at Kensho.

The Machine Learning Engineer will develop AI solutions, work with ML systems, collaborate with cross-functional teams, and improve ML model lifecycles.

Design and implement RAG pipelines, build retrieval systems, develop LLM solutions, and automate ML systems lifecycle for Kensho's AI projects.