Capital One Manager Machine Learning Engineer - People Leader 

India, Karnataka, Bengaluru 

432054071

Voyager (94001), India, Bangalore, Karnataka Manager, Machine Learning Engineer - People Leader

As a Capital One Machine Learning Engineer, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Working within an Agile environment, you’ll serve as a technical lead, helping guide machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning e

We’re looking for a
Manager - Machine Learning Engineer

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 monitoring

• Partner with product and design teams to build elegant and scalable solutions to speed up governance and monitoring 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

• 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

• At least 2 years of people leader experience

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

• 1+ years of experience leading teams developing ML solutions using industry best

• 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.