Staff AI/ML Engineer, Applied AI

Thermo Fisher Scientific develops products and services supporting scientific research, healthcare and life sciences. This engineer will build and deploy production AI/ML, LLM, RAG and agentic systems while setting technical standards and mentoring engineers.

• Develop, evaluate and deploy AI/ML models and solutions
• Build LLM services and RAG and agentic workflows
• Define AI system architectures, reusable patterns and engineering standards
• Establish evaluation practices for AI/ML solutions
• Integrate AI capabilities into scientific applications and enterprise workflows
• Mentor engineers across model development, evaluation and implementation

Education

Master's degree

Degree

artificial intelligence, machine learning, computer science, statistics, engineering

Experience

10+ years

Domain

life sciences

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