Senior ML Engineering Leader

Energy Jobline ZR

New York (NY)

On-site

USD 251,000 - 286,000

Full time

14 days+

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Job summary

Capital One is seeking a Senior Manager, Machine Learning Engineer to lead and shape ML engineering efforts across product and data science teams in a fast-paced environment. You will design, deploy, and monitor production ML models, mentor engineers, and drive responsible AI practices while collaborating with Ops, Modeling, and Data Engineering to deliver impactful solutions at scale.

Strong Python/Java/C++ expertise and cloud experience (AWS, GCP, or Azure) are essential, as is experience with

Qualifications

Bachelor’s degree or higher in CS/ML or related quantitative field.
6+ years of Python/Java/C++ development experience.
6+ years ML experience with PyTorch or TensorFlow and libraries.
6+ years operating large-scale distributed systems (Spark, Ray).
4+ years deploying ML in production and cloud environments with Kubernetes.
1+ year of people leadership experience.

Responsibilities

Design, build, and deliver ML models and components with Product and Data Science teams.
Scale multi-tenant platforms for training and serving ML models at production scale.
Inform ML infrastructure choices: data, features, model selection, monitoring, and validation.
Write, test, and deploy application code; automate tests and deployment.
Collaborate in an Agile cross-functional team to enable AI/ML applications.
Retrain, maintain, and monitor models in production and ensure governance.
Utilize cloud architectures to deliver optimized ML models at scale.
Construct data pipelines for training and evaluation of ML models.
Follow CI/CD, test automation, and monitoring best practices; maintain secure code.