Principal Associate- Machine Learning Engineer

Capital One is seeking a Principal Associate Machine Learning Engineer to join their Machine Learning Experience (MLX) team in Bengaluru, India. This role sits at the intersection of machine learning and platform engineering, focusing on building cutting-edge solutions for observability and model governance automation in generative AI applications.

The position offers an exciting opportunity to work with state-of-the-art technology in a fast-paced, intellectually rigorous environment. As a Principal Associate ML Engineer, you'll be responsible for developing solutions to collect metadata, metrics, and insights from large-scale generative AI platforms. You'll build intelligent systems to derive deep insights into platform use-case performance and ensure compliance with industry standards.

The MLX team plays a crucial role in Capital One's machine learning infrastructure, being at the forefront of how the company builds and deploys ML models. The team is responsible for onboarding and educating associates on ML platforms and products used company-wide, driving innovation and research, and creating the foundation that enables businesses to deliver next-generation ML-driven products and services.

Key responsibilities include leading the design and implementation of observability tools, leveraging and fine-tuning Generative AI models, building core APIs and SDKs for LLM observability, and driving the adoption of emerging technologies. The role requires a strong technical background with at least 4 years of experience in machine learning engineering and hands-on experience with Generative AI models.

The ideal candidate should possess expertise in Python, Go, or Java programming, proficiency with observability tools, and experience with ML frameworks. Knowledge of cloud platforms and microservices architecture is essential. Additional preferred qualifications include experience with container orchestration, data governance, and contributions to open-source ML software.

This role offers the opportunity to work with a leading financial institution that is heavily investing in artificial intelligence and machine learning technologies. You'll be part of a team that's shaping the future of how Capital One leverages ML and AI to deliver innovative solutions for its customers. The position combines technical expertise with leadership responsibilities, making it ideal for someone looking to make a significant impact in the field of machine learning engineering.