Lead Risk Data Scientist & ML Engineer (AI)

Location: Hybrid in Alpharetta, Georgia, United States

Company

hirify.global is a payments company developing financial technology and risk-management capabilities for fraud, credit, and AML operations.

What you will do

• Own the end-to-end lifecycle of fraud, credit, and AML detection models, from design and validation through production deployment and optimization.
• Monitor model performance using production data and investigation outcomes, balancing precision, recall, alert quality, detection coverage, and operational cost.
• Design and oversee scalable batch and real-time data pipelines for model development and serving.
• Design AI-assisted analyst workflows and agent-based systems using LLMs and agentic frameworks, including pilot-stage deployments.
• Establish model governance, documentation, change-management, explainability, and auditability standards aligned with regulatory expectations.
• Lead cross-functional projects and provide technical guidance to data scientists and engineers across Risk, Compliance, Fraud Operations, and Technology.

Requirements

• 7+ years of experience in data science, machine learning, or MLOps.
• Production experience developing, deploying, and maintaining fraud, AML, or credit-risk detection models.
• Hands-on experience with AI-assisted workflows, LLMs, and agentic frameworks.
• Strong proficiency in Python and SQL, with experience in Git, CI/CD, model monitoring, retraining pipelines, and infrastructure automation.
• Experience with Databricks, Snowflake, AWS SageMaker, AWS Glue, Lambda, and EventBridge.
• Understanding of fraud typologies, AML transaction monitoring, detection-system design, and model-risk frameworks such as SR 11-7.

Nice to have

• Experience in regulated financial services or fintech.
• Experience with AWS AgentCore, LangChain, Claude, GPT, or similar foundational models and agent-orchestration tools.
• Experience with regulatory interactions and model validation reviews.

Culture & Benefits

• Full-time employment in a hybrid workplace.
• Work in a small, high-impact team with a strong focus on pragmatic execution and measurable outcomes.
• Collaborate across Risk, Compliance, Technology, and Fraud Operations.
• Inclusive and globally connected company environment with opportunities for professional growth.
• Equal-opportunity employment and reasonable accommodations during hiring and employment.