Applied AI ML Lead

What you'll do

• Lead end-to-end generative AI initiatives from problem framing through production release.
• Design and evaluate foundation models, including model selection and fine-tuning strategies.
• Establish rigorous evaluation practices for quality, robustness, latency, cost, and risk.
• Build and operationalize production-grade machine learning services with sound engineering practices.
• Define semantic consistency across systems by leading modeling standards and lifecycle governance.
• Implement integration patterns to align data pipelines and application interfaces for trust in outcomes.

What we're looking for

• Master’s degree in computer science, engineering, statistics, or a related quantitative discipline.
• 7+ years of experience building and deploying machine learning solutions in production environments.
• Strong proficiency in Python and modern machine learning frameworks like PyTorch.
• Experience leading experimentation and evaluation with clear documentation for stakeholders.
• Demonstrated ability to deploy and operate models in production with performance optimization and monitoring.
• Working knowledge of responsible AI practices, model risk concepts, and governance controls.
• Proven ability to partner across product, engineering, and business stakeholders to define outcomes.