Credit Decisioning Developer Jobs

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10d ago

Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences)

Capital One New York, NY

New York, NY

10d ago

$251k - $286k/yr Full time Senior AI Enablement Ai Ml

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Job Description

Capital One offers an on site Senior Lead Machine Learning Engineer role in New York, NY, with a competitive yearly salary between USD 250,800 and 286,200. The position includes health benefits, financial benefits, and a performance based incentive program. You will lead cross functional teams to productionize ML applications and design AI powered products along with scalable ML infrastructure.

Responsibilities

Lead dedicated pods of software, data, and ML engineers to build AI and ML capabilities for Credit and Financial Risk Management products, mentoring the team on core technologies.
Design, develop, and deliver AI driven products and components that address real business needs, applying model experimentation, LLM inference, similarity search, and agentic AI within a collaborative Product and Data Science environment.
Collaborate with engineers, data scientists, and designers to scale AI powered products that improve associate performance and deliver strong customer value.
Guide ML infrastructure decisions by applying knowledge of modeling techniques, including model choice, data and feature selection, training, hyperparameter tuning, dimensionality, bias and variance, and validation.
Tackle complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment processes.
Retrain, maintain, and monitor models in production to ensure ongoing effectiveness.
Leverage or build cloud based architectures and platforms to deliver optimized ML models at scale.
Construct efficient data pipelines to feed ML models.
Apply continuous integration and continuous deployment practices with test automation and monitoring to ensure reliable deployments of ML models and application code.
Ensure code quality, governance of models from a risk perspective, and adherence to Responsible and Explainable AI practices.
Utilize a broad stack of Open Source and SaaS AI technologies, coding with Python, Scala, or Java.

Requirements

Bachelor’s Degree.
At least 8 years designing and building data intensive solutions with distributed computing (internship experience does not apply).
At least 4 years programming with Python, Scala, or Java.
At least 3 years building, scaling, and optimizing ML systems.
At least 2 years leading teams developing ML solutions.

Technologies

Python, Scala, Java
AWS Bedrock, Google Cloud, Azure
Retrieval Augmented Generation (RAG)

Benefits

Health benefits
Financial benefits
Performance based incentive compensation

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