Senior ML Engineer | Python, AWS & GenAI

Emploive; Northern, New York (KY, NY); Hybrid; USD 179,000 - 246,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer 4 to drive AI transformations in Enterprise Platforms Technology. You will design and productionize ML models, build scalable data pipelines, and collaborate with Product and Data Science teams to deliver state-of-the-art AI applications.

The role emphasizes cloud-based architectures, model governance, and strong software development practices. Candidates will work in a fast-paced environment with an emphasis on responsible AI.

Qualifications

• Bachelor's Degree or higher in Computer Science, Machine Learning or a 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 PyTorch or TensorFlow and libraries (Pandas, NumPy, Scikit-learn).
• At least 4 years of experience deploying and operating ML solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large-scale containerized ML software systems.

Responsibilities

• Design, build, and deliver ML models and components solving real-world business problems with Product and Data Science teams.
• Inform ML infrastructure decisions, model/data/feature selection, training, tuning, bias/variance, validation.
• Write and test application code, develop/validate ML models, and automate tests and deployment.
• Collaborate in a cross-functional Agile team to build software for big data and ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage cloud-based architectures to deliver optimized ML models at scale.
• Construct optimized data pipelines to feed ML models.
• Apply CI/CD and monitoring to ensure successful deployment of ML models and code.
• Ensure code governance and Responsible/Explainable AI practices.
• Use Python, Scala, or Java.

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

Kubernetes

AWS

GCP

Azure

Education

Bachelor's Degree or higher in Computer Science, Machine Learning or related quantitative field

Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field

Tools

Kubernetes

AWS

GCP

Azure

Job description

Capital One is seeking a Machine Learning Engineer 4 to drive AI transformations in Enterprise Platforms Technology. You will design and productionize ML models, build scalable data pipelines, and collaborate with Product and Data Science teams to deliver state-of-the-art AI applications.

The role emphasizes cloud-based architectures, model governance, and strong software development practices. Candidates will work in a fast-paced environment with an emphasis on responsible AI.