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Capital One Lead Machine Learning Engineer India, Karnataka, Bengaluru 87689646
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What You’ll Do
● Work with model and platform teams to build systems that ingest large amounts of model and feature metadata that will feed into automated governance decisioning
● Partner with product and design teams to build elegant and scalable solutions to speed up governance processes
● Collaborate as part of a cross-functional Agile team to create and enhance software that enables state of the art, next generation big data and machine learning applications.
● Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
● Construct optimized data pipelines to feed machine learning models
● Use programming languages like Python, 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
● Advocate for software and machine learning engineering best practices
Function as a technical lead
Basic Qualifications
● Bachelor’s Degree
● At least 6 years of experience designing and building data intensive solutions using distributed computing
● At least 4 years of experience programming with Python, Go, or Java
● At least 2 years of experience building, scaling, and optimizing ML systems
● At least 2 years of experience with the full ML Development Lifecycle using industry-recognized best practices
Preferred Qualifications
● Master’s Degree or PhD in Computer Science, Electrical Engineering, Mathematics, or a similar field
● Atleast 3 years of experience in building production-ready data pipelines that feed ML models
● Atleast 3 years of on job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
● Atleast 2 years of experience developing performant, resilient, and maintainable code
● Atleast 2 years of experience with data gathering and preparation for ML models, practices, patterns, and automation
● Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
● Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
● Contributed to open source ML software
● Authored/co-authored a paper on a ML technique, model, or proof of concept
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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