A dynamic health technology startup in New York seeks an ML operations engineer to manage the lifecycle of AI systems, from experimentation to production. The role involves optimizing AI performance on biopharma data, implementing ML Ops best practices, and cross-functional collaboration in a high-energy environment. Ideal candidates will have full-stack web development skills, experience with LLMs, and strong communication abilities. Competitive compensation ranging from $160,000 to $300,000 is offered, commensurate with expertise and contributions.
Qualifications
Proficiency in developing and deploying AI systems for business applications.
Experience with prompt-engineering and retrieval-augmented generation.
Ability to manage CI/CD pipelines for machine learning.
Responsibilities
Optimize AI platform performance on biopharma marketing data.
Implement ML Ops best practices including model versioning and automated testing.
Develop LLM evaluation infrastructure for client feedback.
Skills
Full-stack web development technologies (Python, FastAPI, Docker, AWS)
Experience with LLMs (GPT, Claude, Gemini)
Strong communication and collaboration skills
Independent thinking
Engineering experience with enterprise-grade products
Job description
A dynamic health technology startup in New York seeks an ML operations engineer to manage the lifecycle of AI systems, from experimentation to production. The role involves optimizing AI performance on biopharma data, implementing ML Ops best practices, and cross-functional collaboration in a high-energy environment. Ideal candidates will have full-stack web development skills, experience with LLMs, and strong communication abilities. Competitive compensation ranging from $160,000 to $300,000 is offered, commensurate with expertise and contributions.