iHire · 1 day ago
Senior Lead Machine Learning Engineer
Capital One is a leading financial services company, and they are seeking a Senior Lead Machine Learning Engineer. The role involves leading diverse technology projects, collaborating with product managers, and delivering cloud-based solutions to empower customers financially.
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Responsibilities
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Qualification
Required
Bachelors Degree
At least 6 years of professional software engineering experience (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred
Masters Degree
9+ years of experience in at least one of the following: Python
3+ years of experience with AWS, GCP, Azure, or another cloud service
4+ years of experience in open source frameworks
3+ years of experience with Agnetic Workflows
3+ years of experience with Langgraph or Langchain
2+ years of experience in Agile practices
Benefits
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
Company
iHire
An industry-specific recruitment platform that connects employers with qualified candidates across 57 talent communities.
Funding
Current Stage
Growth StageRecent News
2025-09-12
Company data provided by crunchbase