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Head of Machine Learning (Fraud & Risk) – Remote jobs in United States
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Glint Tech Solutions · 1 day ago

Head of Machine Learning (Fraud & Risk) – Remote

Glint Tech Solutions is seeking an exceptional Head of Machine Learning to lead their Fraud & Risk Machine Learning organization. This leadership role involves building and scaling fraud detection and risk decisioning products while managing a high-performing ML team and collaborating with various stakeholders to develop impactful machine learning systems.
Artificial Intelligence (AI)Enterprise SoftwareConsultingBig DataCloud ComputingProfessional ServicesSoftwareBusiness Process Automation (BPA)Data ManagementIT InfrastructureMachine Learning
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H1B Sponsorednote

Responsibilities

Lead the Fraud & Risk Machine Learning organization, managing a team responsible for production fraud detection models
Define and execute the machine learning roadmap for fraud prevention, identity verification, and risk decisioning
Build and scale a portfolio of production ML models from concept through deployment and continuous optimization
Partner with Product, Engineering, Risk, and Executive Leadership to solve complex business challenges using machine learning
Drive end-to-end machine learning development including:
Feature engineering
Data preparation
Model development
Validation
Production deployment
Monitoring and model performance optimization
Establish best practices for model governance, experimentation, and production reliability
Mentor and grow a high-performing team of Data Scientists and Machine Learning Engineers
Provide technical leadership while remaining capable of contributing hands-on when necessary
Present technical strategy, business impact, and model performance to executive stakeholders

Qualification

Machine LearningPythonFeature EngineeringModel TrainingModel EvaluationModel DeploymentModel MonitoringFraud DetectionFinancial RiskIdentity VerificationProduction ML SystemsData ScienceStakeholder Management

Required

7–15 years of experience in Applied Machine Learning or Data Science
4+ years leading and managing Machine Learning or Data Science teams
Proven success building and scaling production machine learning products in high-growth startup environments
Experience leading teams responsible for ML systems that are core to the business
Strong software engineering skills with production-level Python development
Deep experience across the full machine learning lifecycle: Feature engineering, Model training, Model evaluation, Production deployment, Monitoring, Continuous improvement
Domain expertise in one or more of the following: Fraud Detection, Financial Risk, Identity Verification, Cybersecurity
Experience owning multiple production ML models rather than a single isolated project
Strong leadership, communication, and stakeholder management skills
Ability to communicate technical concepts clearly to executives and cross-functional partners

Preferred

Experience at high-growth startups (approximately 20–400 employees)
Track record of scaling both machine learning products and engineering organizations
Experience solving complex, high-impact business problems through machine learning
Strong business acumen with the ability to align ML strategy to company objectives
Demonstrated career progression into increasingly broader technical leadership roles

Benefits

Exceptional candidates may be considered up to $260,000
Comprehensive benefits
Visa sponsorship available for qualified candidates
Competitive equity package

Company

Glint Tech Solutions

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Glint Tech Solutions provides IT consulting services with a focus on machine learning and artificial intelligence solutions.

H1B Sponsorship

Glint Tech Solutions 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
67%
Represents job field similar to this job
Engineering and Development
Marketing
Accounting and Finance
Trends of Total Sponsorships
*2025 (5)
2024 (7)

Funding

Current Stage
Early Stage
Company data provided by crunchbase