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  1. Home
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  5. Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS)
Capital One logo

Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS)

Not Disclosed•Full-TimeOn-site

location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

Apply Now

About the Team

The Intelligent Foundations and Experiences (IFX) team sits at the center of Capital One's vision for AI. We work hand-in-hand with partners across the company to advance the state of the art in science and AI engineering. Our mission is to build and deploy proprietary solutions that are central to our business, delivering value to millions of customers. By empowering teams across Capital One to enhance their products with the transformative power of AI, we aim to create responsible and scalable solutions with the highest leverage impact.

About the Role

As a Lead Machine Learning Engineer, you will join an Agile team dedicated to productionizing machine learning applications and systems at scale. This role is a hybrid of operations, modeling, and data engineering, requiring you to participate in the detailed technical design, development, and implementation of ML applications using both existing and emerging technology platforms.

In this position, you will focus on machine learning architectural design, develop and review model and application code, and ensure the high availability and performance of our ML applications. You will collaborate with Product and Data Science teams to solve complex business problems, inform infrastructure decisions based on modeling techniques, and construct optimized data pipelines. A key part of your day will involve retraining, maintaining, and monitoring models in production while leveraging continuous integration and deployment best practices to ensure successful releases.

Hiring Process

Candidates are expected to go through a standard interview process which typically includes an initial screening, technical deep-dives, and team fit assessments. Please note that Capital One will not sponsor a new applicant for employment authorization or offer immigration-related support for this position.

Equal Opportunity & Culture

Capital One is an equal opportunity employer committed to non-discrimination in compliance with applicable federal, state, and local laws. We promote a drug-free workplace and consider for employment qualified applicants with a criminal history in a manner consistent with legal requirements. We are dedicated to creating an inclusive environment where diverse backgrounds and perspectives are valued.

If you require an accommodation to apply or participate in the recruiting process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.

Work location

Work model: On-site

location_on

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Skills, education and keywords

Skills: Machine Learning, Mlops, Kserve, Kubernetes, Pytorch, Tensorflow, Aws, Python, Scala, Java.

Education: Bachelor's degree required; Master's or doctoral degree in computer science, electrical engineering, mathematics, or similar field preferred.

Frequently asked questions about Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS) at Capital One

What does a Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS) at Capital One do?expand_more
A Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS) at Capital One is responsible for the following: Design, build, and deliver ML models and components to solve real-world business problems; Develop and review model and application code using Python, Scala, or Java; Construct optimized data pipelines to feed ML models and ensure high availability; and Implement continuous integration and deployment best practices for ML applications.
What are the requirements for this Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS) role?expand_more
Capital One is looking for candidates who meet the following requirements: Bachelor's degree; 6+ years designing data-intensive solutions using distributed computing; 4+ years programming with Python, Scala, or Java; 2+ years building, scaling, and optimizing ML systems; and US work authorization (no sponsorship).
Where is the Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS) role at Capital One located?
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NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

New York, New York

Key Responsibilities

  • check_circleDesign, build, and deliver ML models and components to solve real-world business problems
  • check_circleDevelop and review model and application code using Python, Scala, or Java
  • check_circleConstruct optimized data pipelines to feed ML models and ensure high availability
  • check_circleImplement continuous integration and deployment best practices for ML applications
  • check_circleDesign and build cloud-based architectures on AWS to deliver optimized ML models at scale
  • check_circleEnsure ML models follow best practices in Responsible and Explainable AI
  • check_circleRetrain, maintain, and monitor ML models in production environments

Requirements

  • verifiedBachelor's degree
  • verified6+ years designing data-intensive solutions using distributed computing
  • verified4+ years programming with Python, Scala, or Java
  • verified2+ years building, scaling, and optimizing ML systems
  • verifiedUS work authorization (no sponsorship)

Nice to Have

Master's or doctoral degree 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. 2+ years of people leader experience. 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. ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents.

Benefits & Perks

check_circlePerformance-based incentive compensation including cash bonuses and/or long term incentives
Capital One logo
Company

Capital One

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

6+ yrs (Lead)

Education

Bachelor's degree required

Job Type

Full-Time

Skills Required

Machine LearningMlopsKserveKubernetesPytorchTensorflowAwsPythonScalaJava
Capital One logo

Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS)

Capital One • New York, New York

$179k-246karrow_forward
expand_more
Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS) at Capital One is based in NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States. This is a on-site role.
Is this Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS) job remote, hybrid, or on-site?expand_more
Capital One has listed this Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS) role as on-site.
How much experience is required for this Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS) role?expand_more
Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS) at Capital One typically requires 6+ years of relevant experience at the lead level.
What skills do you need for the Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS) role at Capital One?expand_more
Key skills for Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS) at Capital One include Machine Learning; Mlops; Kserve; Kubernetes; Pytorch; Tensorflow; Aws; and Python.
What education is required for Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS) at Capital One?expand_more
Educational requirements for this role: Bachelor's degree required; and Master's or doctoral degree in computer science, electrical engineering, mathematics, or similar field preferred.
What category does the Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS) role belong to?expand_more
Lead Machine Learning Engineer (MLOps, KServe building Kubernetes Clusters, PyTorch, TensorFlow on AWS) at Capital One is part of the it job category on Recrutus.
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