Senior Manager, Machine Learning Engineering

Voyager (94001), India, Bangalore, Karnataka

Senior Manager, 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 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 - Full Stack Software Engineer to join the Machine Learning Experience (MLX) team!

The MLX team is at the forefront of how Capital One builds and serves 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 full ML experience we’re creating enables our lines of business to focus their time and resources on advancing their specific machine learning objectives — all while continuing to deliver next-generation machine learning-driven products and services for our customers.  

What You’ll Do:

• Lead teams working together to design, architect, and then deliver a solution around enabling seamless mobility of our users across sets of back-end infrastructure

• Work to build abstractions on top of back-end Kubernetes based systems so as to remove complexity of moving users of our multi-tenant machine learning platforms across different systems

• Enhance and standardize  a scalable  monitoring and alerting framework for platform users to have a continuous situational awareness of all their model pipelines and services, enabling them to address operational incidents for their pipelines self-service.

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal and external technology communities, mentoring other members of the engineering community, and may occasionally be asked to code or evaluate code

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of customers achieve their financial goals.

• Utilize programming languages like Go and Python, as well as AWS services such as EKS, the various EC2 and networking based services, RDS, DynamoDB, EFS and S3, plus various data platforms

Basic Qualifications:

• Bachelor’s Degree

• At least 10+ years of experience in software engineering 

• At least 3 years of experience with AWS 

• At least 4 years of people management experience

• At least 1 year of experience with containerization technologies 

Preferred Qualifications:

• Master’s Degree

• 12+ years of experience in software engineering.

• 3+ years of experience specifically with Python or Go

• 5+ years of experience with AWS

• 4+ years of experience in open source frameworks

• 7+ years of people management experience

• 2+ years of experience in Agile practices

• 2+ years of experience with Kubernetes

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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com

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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).