Capital One Hiring for Senior Manager – Machine Learning Engineer at Bangalore Full Time

Voyager (94001), India, Bangalore, KarnatakaSenior Manager – Machine Learning EngineerAt Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using advanced analytics, data science and machine learning, we derive valuable insights about product and process design, consumer behavior, regulatory and credit risk, and more from large volumes of data, and use it to build cutting edge patentable products that drive the business forward.We’re looking for a Senior Manager – Machine Learning Engineer to join the Machine Learning Experience (MLX) team!As a Capital One Machine Learning Engineer (MLE), you’ll be part of a team focusing on automating governance within the model development lifecycle. You will work with metadata at scale for machine learning model training, feature authoring and serving so as to enable automated model governance decisions. You will contribute to building a system that will  accelerate the time it takes to move from fully trained models to deployed model artifacts ready to be used to fuel business decisioning.The MLX team is at the forefront of how Capital One builds and deploys well-managed ML models and features; we onboard and educate associates on the ML platforms and products that the whole company uses; we drive new innovation and research; and we’re working to seamlessly infuse ML into the fabric of the company. The ML experience we’re creating today is the foundation that enables each of our businesses to deliver next-generation ML-driven products and services for our customers.Responsibilities: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.Work with your teams to build out data pipelines for ingesting and normalizing metadata across multiple disparate systems.Use programming languages like Python and Go.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 the engineering tech lead for large-scale initiatives.Recruit and mentor junior engineering talent.Basic Qualifications:Bachelor’s degreeAt least 10 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 3 years of experience building, scaling, and optimizing ML systems.At least 3 years of experience with the full ML Development Lifecycle using industry-recognized best practices.At least 2 years of experience leading teams developing ML solutionsPreferred Qualifications:Master’s Degree or PhD in Computer Science, Electrical Engineering, Mathematics, or a similar field.Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform.At least 4 years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow.At least 3 years of experience developing performant, resilient, and maintainable code.At least 3 years of experience with data gathering and preparation for ML models.Contributed to open source ML software.Authored/co-authored a paper on a ML technique, model, or proof of concept.Demonstrated ML industry impact through conference presentations, papers, blog posts, or patents.At least 3 years of experience building production-ready data pipelines that feed ML models.Ability to communicate complex technical concepts clearly to a variety of audiences.No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.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 [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One’s recruiting process, please send an email to [email protected] One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).