Senior ML Engineer: AI Systems & Risk Tech

Capital One

McLean (VA)

On-site

USD 193,400 - 220,700

Full time

14 days+
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Benefits offered by this job

Comprehensive health benefits
Performance-based incentive compensation
Inclusive workplace environment

Job summary

A financial technology company in Virginia seeks a Lead Machine Learning Engineer to design and implement AI-driven solutions in risk management. The successful candidate will collaborate with skilled teams to deliver high-impact products. Essential qualifications include a Bachelor's degree, programming experience with Python, and extensive work with distributed computing on cloud platforms. A Master's degree is preferred, along with a record of developing AI algorithms. This role offers competitive compensation and comprehensive benefits.

Qualifications

  • At least 6 years of experience designing and building data‑intensive solutions.
  • At least 4 years of programming with Python, Go, Scala, or Java.
  • At least 3 years of deploying scalable software solutions on cloud platforms.

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products.
  • Design, develop, test, deploy, and support AI software components.
  • Collaborate in an Agile team to enhance software utilizing AI/ML.

Skills

Machine learning
Python
Data-intensive solutions
Distributed computing
Cloud platforms
AI algorithms
Collaboration
Problem-solving

Education

Bachelor's degree
Master's degree in related fields

Tools

AWS
Google Cloud
Azure

Job description

A financial technology company in Virginia seeks a Lead Machine Learning Engineer to design and implement AI-driven solutions in risk management. The successful candidate will collaborate with skilled teams to deliver high-impact products. Essential qualifications include a Bachelor's degree, programming experience with Python, and extensive work with distributed computing on cloud platforms. A Master's degree is preferred, along with a record of developing AI algorithms. This role offers competitive compensation and comprehensive benefits.
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