Note: The job is a remote job and is open to candidates in USA. Reqroute, Inc is seeking an experienced Head of Machine Learning to lead a high-performing team focused on Application Fraud Detection. This leadership role is responsible for managing the fraud modeling team, developing innovative machine learning solutions, and driving the strategy and execution of fraud detection products.
Responsibilities
- Lead and mentor a team of Machine Learning Engineers and Data Scientists
- Build, deploy, and scale machine learning models for fraud detection
- Drive the development of end-to-end production-ready ML solutions
- Partner with cross-functional teams to deliver high-impact products
- Establish technical direction, best practices, and model governance
- Scale both machine learning products and engineering teams in a fast-paced environment
Skills
- 7–15 years of experience in Applied Machine Learning and/or Data Science
- 4–5+ years of people management experience leading ML or Data Science teams
- Proven experience building and deploying production-grade machine learning models
- Strong hands-on coding skills with the ability to successfully complete a technical coding assessment
- Experience scaling machine learning products and teams within high-growth organizations
- Demonstrated success solving complex business problems using Data Science and Machine Learning
- Experience in one or more of the following industries: FinTech, Cybersecurity, Healthcare Technology, Other high-risk or highly regulated domains
- Strong understanding of fraud detection and risk modeling
- Experience developing and scaling multiple production ML models rather than a single solution
- Strong foundation in Machine Learning Engineering and Data Science
- Ability to write clean, production-quality code
- Experience taking machine learning models from concept through deployment
- Strong analytical, problem-solving, and system design skills
- Excellent communication and stakeholder management skills
- Ability to explain complex technical concepts to both technical and non-technical audiences
- Experience leading high-performing engineering and data science teams
- Comfortable working with executive leadership and influencing technical strategy
- Has held senior leadership roles within fast-growing organizations (approximately 20–400 employees)
- Demonstrates strong career progression and increasing leadership responsibilities
- Thrives in an autonomous, high-ownership environment
- Passionate about building scalable ML products and developing exceptional technical teams
Company Overview