Capital One Lead Machine Learning Engineer 

India, Karnataka, Bengaluru 

338719432

Voyager (94001), India, Bangalore, Karnataka Lead Machine Learning Engineer

We’re looking for a
Lead - 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 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

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.