Machine Learning Engineer jobs in United States
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Yoh, A Day & Zimmermann Company · 2 hours ago

Machine Learning Engineer

Yoh, A Day & Zimmermann Company is a fast-growing financial technology organization seeking a Machine Learning Engineer to join its Data Science and Credit Risk function. This role focuses on building and operating backend systems for real-time credit and fraud decisioning, requiring expertise in Python-based services and APIs.

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H1B Sponsor Likelynote
Hiring Manager
Felecia Elzie (Holmes) M.H.R. / M.B.A.
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Responsibilities

Develop and maintain backend services supporting credit risk and fraud decision workflows
Deploy and operate production scoring systems, automated decision rules, and predictive models
Ensure reliability, performance, and observability of underwriting-related services
Troubleshoot production issues that impact decision accuracy or service uptime
Partner with data scientists to safely transition analytics into scalable production systems
Improve architecture for scalability, resilience, and operational robustness
Implement monitoring and alerting for system health and decision outcomes
Collaborate across risk strategy, engineering, and operations teams to deliver real-time decisions
Build deep expertise in underwriting and fraud decision infrastructure

Qualification

PythonMachine LearningBackend EngineeringCloud InfrastructureSQLDebugging SkillsSoftware Engineering PracticesNLP ExposureCommunication SkillsCollaboration

Required

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
3+ years of experience in backend, platform, or systems engineering
2+ years supporting deployment and operation of machine learning systems in production
Strong experience building Python-based APIs and service frameworks
Familiarity with cloud infrastructure (AWS preferred) including deployment, scaling, and monitoring
Understanding of software engineering best practices: CI/CD, testing, version control, documentation
Proficiency in Python and SQL with experience across the ML deployment lifecycle, especially monitoring and iteration
Strong debugging skills and comfort supporting high-impact production services
Ability to communicate technical concepts clearly across diverse stakeholders

Preferred

Exposure to fraud systems, credit risk platforms, NLP, or LLM-based solutions

Benefits

Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
Health Savings Account (HSA) (for employees working 20+ hours per week)
Life & Disability Insurance (for employees working 20+ hours per week)
MetLife Voluntary Benefits
Employee Assistance Program (EAP)
401K Retirement Savings Plan
Direct Deposit & weekly epayroll
Referral Bonus Programs
Certification and training opportunities

Company

Yoh, A Day & Zimmermann Company

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At Yoh, we focus on helping you precisely navigate and fulfill your talent demands.

H1B Sponsorship

Yoh, A Day & Zimmermann Company has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (57)
2024 (28)
2023 (27)
2022 (25)
2021 (28)
2020 (27)

Funding

Current Stage
Late Stage

Leadership Team

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Peter Melomo
Vice President, Sales Strategy & Professional Consulting Services
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Tom Enright
VP Recruiting - Specialty Practices
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