Senior Machine Learning Engineer - Scale Production AI

Capital One

Plano (TX)

On-site

USD 179,000 - 205,000

Full time

3 days ago

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Job summary

Capital One seeks a Machine Learning Engineer to design, build, and deploy ML models at scale. You will collaborate with Product, Data Science, and Engineering teams to deliver AI solutions, maintain production models, and optimize data pipelines for scalable cloud deployments.

The role emphasizes CI/CD, governance, and Responsible AI practices, using Python, Java, or Scala in a fast-paced, Agile environment.

Qualifications

Bachelor's Degree or higher in Computer Science, Machine Learning or related quantitative field.
At least 4 years programming with Python, Java, Golang or C++.
At least 4 years ML experience using PyTorch or TensorFlow and libraries like Pandas/NumPy/Scikit-learn.
At least 4 years operating large-scale distributed systems (Spark, Ray) to prepare AI/ML data.
At least 2 years deploying ML solutions in production on cloud and using Kubernetes.

Responsibilities

Design, build, and deliver ML models and components with Product and Data Science teams.
Inform infrastructure decisions with ML modeling concepts including data/feature selection and validation.
Write and test application code, develop ML models, and automate tests and deployment.
Collaborate in a cross-functional Agile team to enable state-of-the-art big data and ML apps.
Retrain, maintain, and monitor models in production.
Build cloud-based architectures to scale ML models.
Create optimized data pipelines for training and evaluation.