Top Machine Learning Engineer Jobs in Lexington, KY

The role involves owning and delivering AI-powered features for Calendly, collaborating with multiple teams, and applying machine learning solutions for product enhancement.

The role involves rapid prototyping and architecting production LLM pipelines for AI in marketing workflows. Responsibilities include developing proofs of concept, making AI architecture decisions, building production data agents, and understanding user workflows for seamless AI experiences.

Lead the design and implementation of machine learning models and systems for advertising measurement and optimization, collaborating across teams to ensure impactful solutions.

The role involves developing, deploying, and maintaining AI and machine learning models. Key responsibilities include using frameworks for various AI tasks, integrating cloud services, processing big data, and creating data visualizations.

This role involves designing, developing, testing, and maintaining software solutions, collaborating with various teams while focusing on scalable and reliable engineering.

The AI & Machine Learning Director will lead client engagements, analyze corporate performance, and drive improvements in profitability through machine learning and data analysis, while also managing business development and team collaboration.

The Principal Architect will design and deliver high-quality machine learning solutions on Azure, managing technical teams and client relationships effectively.

The Staff Machine Learning Engineer will enhance Quora's recommendation systems, lead machine learning projects, and own end-to-end ML processes.

As a Senior ML Engineer, you'll own ML-driven features from modeling to deployment, drive innovation in generative AI, and mentor junior members.

The role involves enhancing a graph compiler for ML models, optimizing performance across hardware platforms, and collaborating on core technologies.