Distinguished Machine Learning Engineer

Voyager (94001), India, Bangalore, Karnataka

Distinguished Machine Learning Engineer

Distinguished Engineer - Machine Learning Engineering

At Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using AI / ML, we derive valuable insights about consumer behavior, credit and fraud risk and more from large volumes of data, and use it to build cutting edge patentable products and processes that drive the business forward.

We're looking for a Distinguished Engineer - Machine Learning Engineering to join the Machine Learning Experience (MLX) team!

The MLX team is at the forefront of how Capital One builds and deploys well-managed AI / ML models and use-cases, both predictive and generative. We drive new innovation and research while working to seamlessly infuse AI / ML into the fabric of the company. The experience we're creating is the foundation that enables each of our businesses to deliver next-generation AI based products and services for our customers.

• Work with model and platform teams to build systems that ingest large amounts of model and feature metadata and runtime metrics to build an observability platform and to make governance decisions.
• Partner with product and design teams to build elegant and scalable solutions to speed up model governance observability
• Collaborate as part of a cross-functional Agile team to design and implement architecture that enables state of the art, next generation big data and machine learning applications.
• Leverage cloud-based architectures and technologies to deliver optimized AI / ML models at scale

• Construct optimized data pipelines to feed machine learning models.
• Use programming languages like Python, Go, Scala, or Java
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployments of machine learning models and application code.

• Bachelor's Degree in Computer Science or a related field
• At least 12 years of experience in software engineering or solution architecture
• At least 10 years of experience designing and building data intensive solutions using distributed computing
• At least 8 years of experience programming with Python, Go, or Java
• At least 6 years of experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow

• Master's Degree or PhD in Computer Science, Electrical Engineering, Mathematics, or a similar field
• 5+ years of experience building, scaling, and optimizing ML systems
• 10+ years of experience developing performant, resilient, and maintainable code.
• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
• Prior experience in MLOps / AIOps
• Experience in developing applications using Generative AI or Agentic AI tools (open source or commercial)
• Contributed to open source ML software
• Authored/co-authored a paper on a AI / ML technique, model, or proof of concept