Lead Machine Learning Engineer (Finance Tech - AI Enablement)

Discover Financial
Cambridge, New York
Workplace: OnsiteFull timeUSD 197,300 - 245,600 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving","Technical leadership","Ownership"]

Lead applied AI/ML engineering for Finance Tech horizontal AI enablement, partnering across engineers, data scientists, product managers, and designers to deliver end-user AI use cases. Design, develop, test, deploy, and support AI software using machine learning models, including LLM inference, similarity search, guardrails, governance, observability, and agentic AI. Fine-tune and evaluate foundation models, build optimized data pipelines, retrain and monitor models in production, and contribute to long-term AI roadmap and best practices for Responsible and Explainable AI.

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FursaFursa
Discover Financial
Discover Financial
4 weeks ago

Lead Machine Learning Engineer (Finance Tech - AI Enablement)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead applied AI/ML engineering for Finance Tech horizontal AI enablement, partnering across engineers, data scientists, product managers, and designers to deliver end-user AI use cases. Design, develop, test, deploy, and support AI software using machine learning models, including LLM inference, similarity search, guardrails, governance, observability, and agentic AI. Fine-tune and evaluate foundation models, build optimized data pipelines, retrain and monitor models in production, and contribute to long-term AI roadmap and best practices for Responsible and Explainable AI.
Location: Cambridge, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Serve as a lead on Finance Tech horizontal AI enablement teams, developing and deploying best practices and end-user AI use cases for Finance LOB.
  • •Partner cross-functionally to deliver AI-powered products for associates and customers.
  • •Design, develop, test, deploy, and support AI components using ML models, including model evaluation and experimentation, LLM inference, similarity search, guardrails, governance, observability, and agentic AI.
  • •Fine-tune, develop, and evaluate machine learning and foundation models.
  • •Retrain, maintain, and monitor models in production, and construct optimized data pipelines that feed ML models.

Pay and Benefits

Salary: USD 197,300 - 245,600 annually

Key Requirements

  • •Bachelor’s degree.
  • •At least 6 years of experience designing and building data-intensive solutions using distributed computing.
  • •At least 4 years of experience programming with Python, Scala, or Java.
  • •At least 2 years of experience building, scaling, and optimizing ML systems.
  • •Experience applying ML engineering best practices to produce reliable, well-governed AI systems in production.
Experience:6+ years
Education:Bachelor's
Skills:CommunicationCollaborationProblem-solvingTechnical leadershipOwnership
Tech Stack:Machine learningAILarge language model inferenceSimilarity searchGuardrailsGovernanceObservabilityAgentic AIPythonScalaJavaScikit-learnPyTorchDaskSparkTensorFlowRetrieval Augmented Generation (RAG)Data pipelinesAWS BedrockGoogle Cloud

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Discover Financial
Provides consumer banking products, credit cards, personal loans, and payment services through the Discover brand. It operates a major U.S. financial network and serves individuals and merchants with lending and digital payment solutions.
Industry: Retail Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 10M to 25M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Riverwoods, United States
Founded: 1985
WebsiteLinkedIn