Senior Machine Learning Engineer, Production & Cloud

TaskVerse; United States; On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer 4 to design, build, & scale ML models with cross-functional teams. You will work across ML engineering, data engineering, modeling, and operations to productionize solutions and ensure responsible AI practices.

Applicants should have a strong background in Python/ML frameworks, distributed systems, and cloud-based services. This role emphasizes scalable architectures and governance in production.

Qualifications

• Bachelor’s degree or higher in Computer Science or related quantitative field.
• 4+ years programming in Python/Java/Golang/C++ and ML with PyTorch or TensorFlow.
• 4+ years with large-scale distributed systems (Spark or Ray).
• 2+ years deploying ML in production and using Kubernetes for containerized systems.

Responsibilities

• Design, build, test, and deliver ML models and software components with Product/Data Science teams.
• Develop and test data pipelines, training data, feature selection, and hyperparameter tuning.
• Deploy, retrain, monitor, and govern models in production with CI/CD and monitoring.
• Ensure production services are secure, compliant, and explainable AI practices.

Skills

Programming languages

Machine learning

Distributed systems

Cloud deployment

Education

Bachelor's degree in CS/Math/Linked field

Master's or PhD (preferred)

Tools

PyTorch

TensorFlow

Pandas/NumPy/scikit-learn

Spark

Ray

Kubernetes

Job description

Capital One is seeking a Machine Learning Engineer 4 to design, build, & scale ML models with cross-functional teams. You will work across ML engineering, data engineering, modeling, and operations to productionize solutions and ensure responsible AI practices.

Applicants should have a strong background in Python/ML frameworks, distributed systems, and cloud-based services. This role emphasizes scalable architectures and governance in production.