Senior Associate, Machine Learning Engineer
4 weeks ago
At Capital One, we think big and do bigger things. We were the first company to develop and offer mass customization and personalization of credit card, auto loans and other financial services products, and we have been innovating relentlessly ever since.
Today, we are a progressive financial services powerhouse spanning Credit Cards, Auto Loans, Savings, and Commercial Banking and at the same time a high-tech company, a scientific laboratory, and a well-recognized brand all in one. We are a passionate and entrepreneurial team with heart – a team that embraces bold ideas, fosters collaboration, and delivers world- class products and services impacting over 65 million customer accounts.
Still founder-led by Chairman and CEO Richard Fairbank, we dare to dream, disrupt and deliver a better way for 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 Senior Associate - 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.
Basic Qualifications
Bachelor’s Degree
At least 2 years of experience designing and building data intensive solutions using distributed computing
At least 2 years of experience programming with Python, Go, or Java
At least 2 years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
At least 1 year of experience productionizing, monitoring, and maintaining models
Preferred Qualifications
1+ years of experience building, scaling, and optimizing ML systems
1+ years of experience with data gathering and preparation for ML models
2+ 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
Master’s Degree or PhD in Computer Science, Electrical Engineering, Mathematics, or a similar field
2+ years of experience with distributed file systems or multi-node database paradigms.
Contributed to open source ML software
Authored/co-authored a paper on a ML technique, model, or proof of concept
2+ years of experience building production-ready data pipelines that feed ML models.
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance.
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.-
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