Financial Engineering Data Jobs

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18d ago

Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences)

Capital One New York, NY

New York, NY

18d ago

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

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Job Description

Capital One is hiring a Senior Lead Machine Learning Engineer in New York, NY onsite to productionize ML applications, lead cross-functional teams, and build scalable AI-driven products, with a salary range of USD 250,800 - 286,200 per year.

Responsibilities

Lead cross functional pods of software, data, and ML engineers to develop AI and ML capabilities for Credit and Financial Risk Management products, acting as a technical mentor on core technologies
Design and deliver AI powered 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 setting
Partner with engineers, data scientists, and designers to develop scalable AI powered products that improve associate performance and deliver standout customer value
Guide ML infrastructure choices based on modeling techniques and challenges, including model selection, data and feature considerations, training, hyperparameters, dimensionality, bias/variance, and validation
Develop and validate ML models, write application code, and automate tests and deployment to address complex problems
Retrain, maintain, and monitor deployed models in production
Utilize or build cloud based architectures and platforms to deploy scalable ML models
Create efficient data pipelines to feed ML models
Apply CI/CD best practices, with test automation and monitoring, to ensure reliable deployment of ML models and code
Ensure code is well managed to minimize vulnerabilities, maintain model governance, and follow Responsible and Explainable AI practices
Utilize a broad mix of open source and SaaS AI technologies, with proficiency in Python, Scala, or Java

Requirements

Bachelor’s Degree required
8+ years designing and building data‑intensive solutions on distributed computing platforms; internship experience not eligible
4+ years programming in Python, Scala, or Java
3+ years building, scaling, and optimizing ML systems
2+ years leading teams delivering 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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