Lead Machine Learning Engineer

r our customers, the financial industry and for each other. Our goal is simple - bring ingenuity, simplicity and humanity to an industry ripe for change.

At DataLabs, Capital One India, we solve fundamental business problems at scale using advanced analytics, data science and machine learning. We specialize in deriving valuable insights about various aspects of the business - including product and process design, consumer behavior, regulatory and credit risk, and much more - from large volumes of data to build cutting edge patentable products at an industrial scale.

We're looking for a Lead - Machine Learning Engineer to join the Machine Learning Experience (MLX) team! to spearhead our foray into autonomous and intelligent data products that solve the full gamut of business and analytical needs. This role involves working with heads of lines of businesses in our Financial Services division to understand contemporary business needs, lead analytical teams to make impactful and actionable offers, and work with Engineering groups to lead tech delivery of large product builds. The role encompasses recruiting, developing and motivating an exceptional team that is drawn from elite campuses in India and abroad, and focused on our mission to develop world class data products.

At DataLabs, you will work in a fast paced and intellectually rigorous environment. You will apply strategic analytical and product leadership skills to major business challenges. You will have the opportunity to learn and build deep expertise in the core areas of advanced analytics, industrial- scale product design, development and deployment, data science and machine learning. And you will do it all in a collaborative environment that values problem solving, encourages creativity, promotes learning, and rewards innovation.

DataLabs prides itself on its exceptionally vibrant culture. Our Associate Development program enables us to shape amazing career and professional development opportunities for our associates. Our best-in-class Corporate Social Responsibility program has nurtured longstanding partnerships with committed organizations that make a meaningful difference to the communities around us. The enthusiastic volunteerism of our associates is the backbone of all that we do - it enables us to push the envelope of possibilities and have incredible fun along the way. We bend backwards to take care of one another through thick and thin. Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives.

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

• As a people leader, you will be responsible for mentoring, coaching, providing feedback, building career plans and assessing performance for your direct reports enabling a high performance engineering team

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

• 3+ years of experience building production-ready data pipelines that feed ML models

• 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow

• 2+ years of experience developing performant, resilient, and maintainable code

• 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

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 [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]

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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).