Machine Learning Engineer

A remote permanent direct hire opportunity for a Machine Learning Engineer

A fast-growing financial technology organization is seeking a Machine Learning Engineer to join its Data Science and Credit Risk function. This position is highly engineering-focused and centers on building and operating backend systems that support real-time credit and fraud decisioning. In this role, you will own Python-based services and APIs that drive underwriting and risk evaluation at the core of the business. You will be responsible for deploying decision logic into production, maintaining system performance, and enhancing the platform as new requirements emerge. This opportunity is ideal for an engineer who enjoys working on mission-critical decision infrastructure and wants to deepen expertise in fraud prevention, credit risk, and underwriting technology.

Key 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

Required Qualifications

• 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 Experience

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

Estimated Min Rate: $110000.00
Estimated Max Rate: $155000.00


What s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh s extensive talent community that will provide you with access to Yoh s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

• 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

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process.

For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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