Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences)

About the role

The Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences) role at Capital One involves working in an Agile team to produce machine learning applications and systems at scale. Key responsibilities include:

• Leading dedicated pods of software, data, and machine learning engineers in building AI/ML capabilities for Credit and Financial Risk Management products.
• Designing, building, and delivering AI-powered products and components that solve real-world business problems.
• Collaborating with a cross-functional team to develop and scale AI-powered products that enhance associate performance and customer value.
• Solving complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
• Maintaining and monitoring models in production.
• Leveraging or building cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale.
• Constructing optimized data pipelines to feed ML models.
• Leveraging continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
• Ensuring all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
• Leveraging a broad stack of Open Source and SaaS AI technologies and using programming languages like Python, Scala, or Java.

Qualifications

• Bachelor’s Degree
• At least 8 years of experience designing and building data-intensive solutions using distributed computing
• At least 4 years of experience programming with Python, Scala, or Java
• At least 3 years of experience building, scaling, and optimizing ML systems
• At least 2 years of experience leading teams developing ML solutions

Preferred Qualifications

• Master's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a similar field
• 6+ years of experience designing, developing, delivering, and supporting AI services at scale
• 3+ years of experience developing AI and ML algorithms or technologies using Python
• 2+ years of experience with Retrieval Augmented Generation (RAG)
• Experience staying abreast of latest ML research with an intuitive ability to understand scientific publications and judiciously apply novel techniques in production
• Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure
• Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance