Senior ML Engineer (Python/AWS) for GenAI & Scalable ML

Capital One Group; Northern, New York (KY, NY); Hybrid; USD 179,000 - 245,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer 4 to design, build, and deploy production ML models at scale within Enterprise Platforms Technology. You will collaborate with Product and Data Science teams to create robust ML pipelines and systems across AWS and Kubernetes.

The role emphasizes responsible AI, scalable data pipelines, and continuous integration/deployment practices in a modern cloud environment. A strong background in Python and ML frameworks is required.

Qualifications

• Bachelor's degree in Computer Science or related quantitative field.
• At least 4 years of experience programming with Python, Java, Golang, or C++.
• At least 4 years of Machine Learning experience using frameworks such as PyTorch or TensorFlow and libraries like Pandas/NumPy/Scikit-learn.

Responsibilities

• Design, build, and deliver ML models and components to solve real-world business problems.
• Inform ML infrastructure decisions including data, model choice, and feature selection.
• Retrain, maintain, and monitor models in production and in cloud environments.

Skills

Python

Java

Golang

C++

Education

Bachelor's Degree in Computer Science or related field

Master's or Doctoral Degree (Preferred)

Tools

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

Job description

Capital One is seeking a Machine Learning Engineer 4 to design, build, and deploy production ML models at scale within Enterprise Platforms Technology. You will collaborate with Product and Data Science teams to create robust ML pipelines and systems across AWS and Kubernetes.

The role emphasizes responsible AI, scalable data pipelines, and continuous integration/deployment practices in a modern cloud environment. A strong background in Python and ML frameworks is required.