Build and improve LLM agent workflows for nursing documentation and care reports, evaluate and ship ML/NLP models to production, and collaborate with product and engineering teams.
Responsibilities
Build and improve LLM agent workflows for nursing forms, assessments, care reports and care-plan suggestions
Own evaluation for your area: create benchmarks from production traces and synthetic scenarios, build regression tests and use results to inform what ships
Investigate real-world failures, reproduce issues across the app, backend and models, and turn what you learn into fixes, tests and data-labeling tasks
Train or adapt models where they outperform rented frontier models on quality, speed, cost or privacy
Make latency, cost and privacy part of your engineering decisions, from model routing and caching to protecting sensitive data
Lead AI solutions and product data operations programs supporting Meta’s AI Monetization & Foundational products.
Responsibilities
Manage and deliver product data operations programs that support AI model training, evaluation, and deployment pipelines across multiple product teams
Partner with research, engineering, and product teams to define data requirements, align on quality standards, and prioritize data collection and annotation efforts for AI solutions
Identify and resolve bottlenecks in data labeling, annotation, and curation workflows to ensure timely delivery of high-quality training datasets
Break down complex data operations challenges into manageable components, applying systematic analysis to design and implement scalable solutions aligned with AI product roadmaps
Develop and maintain program documentation including data governance frameworks, workflow specifications, risk registers, and milestone tracking for AI data initiatives
Requirements
Bachelor's degree in a directly related field
Master's degree in Computer Science, Artificial Intelligence, Computer Engineering, Human-Computer Interaction, or a related technical field
Senior AI Engineer responsible for developing and optimizing machine learning and NLP models for document classification and information extraction within an international insurance program.
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