Senior ML Engineer - AI & Scalable Cloud Models

TaskVerse

United States

On-site

USD 140,000 - 180,000

Full time

15 hours ago
Be an early applicant
Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

Benefits offered by this job

Competitive salary
Flexible work environment
Career development

Job summary

Capital One is seeking a Machine Learning Engineer 4 to design, develop, and deploy scalable ML models that solve complex business problems, collaborating with data scientists, product managers, and operations teams. You will leverage open source frameworks and cloud technologies to scale models across platforms, contributing to high-impact projects and driving AI-driven transformation within Capital One.

The role emphasizes building robust ML solutions, operating in cloud environments, and

Qualifications

  • Bachelor's degree or higher in a quantitative field is required.
  • Minimum 4 years of programming experience with Python/Java/Golang/C++.
  • Experience deploying ML models using PyTorch or TensorFlow in production.

Responsibilities

  • Design, develop, and deploy ML models addressing real-world business problems.
  • Collaborate with product managers and data scientists in agile teams.
  • Select models, engineer features, tune hyperparameters, and validate results.
  • Write, test, and maintain code for training, testing, deployment, and monitoring.
  • Build scalable data pipelines to support ML workflows.
  • Ensure CI/CD practices and secure, compliant AI development.

Skills

Programming languages (Python/Java/Gol
Distributed systems (Spark/Ray)
Cloud platforms (AWS/GCP/Azure)
Kubernetes orchestration

Education

Bachelor's degree or higher in CS/ML/Statistics/Engineering

Tools

PyTorch
TensorFlow
Spark
Ray
Kubernetes
Docker

Job description

Capital One is seeking a Machine Learning Engineer 4 to design, develop, and deploy scalable ML models that solve complex business problems, collaborating with data scientists, product managers, and operations teams. You will leverage open source frameworks and cloud technologies to scale models across platforms, contributing to high-impact projects and driving AI-driven transformation within Capital One.

The role emphasizes building robust ML solutions, operating in cloud environments, and

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior ML Engineer | Scalable AI Platforms
Senior ML Engineer | Scalable AI Platforms

Capital One • McLean (VA)

On-site
USD 230,000 - 262,000
Senior ML Engineer — Production AI & Scalable Systems
Senior ML Engineer — Production AI & Scalable Systems

Capital One • Chicago (IL)

On-site
USD 179,000 - 205,000
Senior ML Engineer: Production AI & Cloud Systems
Senior ML Engineer: Production AI & Cloud Systems

Capital One • Chicago (IL), Northern (KY)

Hybrid
USD 179,000 - 205,000
Senior ML Engineer | Python, AWS & GenAI
Senior ML Engineer | Python, AWS & GenAI

Emploive • Northern (KY), New York (NY)

Hybrid
USD 179,000 - 246,000
Senior ML Engineer (IC) — Scale Production AI Systems
Senior ML Engineer (IC) — Scale Production AI Systems

Capital One Group • Northern (KY), New York (NY)

Hybrid
USD 180,000 - 260,000
Senior ML Engineer — Build Scalable Production Models
Senior ML Engineer — Build Scalable Production Models

Capital One • New York (NY)

On-site
USD 215,000 - 246,000
Senior ML Engineering Lead
Senior ML Engineering Lead

Capital One Group • McLean (VA)

Hybrid
USD 230,000 - 262,000
Senior Machine Learning Engineer
Senior Machine Learning Engineer

Capital One National Association • McLean (VA)

On-site
USD 197,000 - 225,000
Senior ML Engineer: GenAI, Python, AWS
Senior ML Engineer: GenAI, Python, AWS

Capital One • San Francisco (CA)

On-site
USD 215,000 - 246,000
Senior ML Engineer: Build & Scale Production Models
Senior ML Engineer: Build & Scale Production Models

Capital One Group • New York (NY), Northern (KY)

Hybrid
USD 177,000 - 201,000