Lead Machine Learning Engineer (Fintech)

TL;DR

Lead Machine Learning Engineer (Fintech): Developing and deploying advanced predictive models and distributed ML architectures into cloud-based real-time transaction processing systems with an accent on scalability, high-throughput data, and AI governance. Focus on building robust ML pipelines, optimizing performance and cost, and mentoring engineers to deliver industry-leading analytic solutions.

Location: San Diego, CA

Salary: $122,500 – $192,500

Company

A global leader in analytics software providing credit scoring and fraud detection solutions to businesses worldwide.

What you will do

• Develop distributed ML architectures, pipelines, and algorithms for real-time predictive analytics on high-throughput transactional data.
• Integrate and evaluate advanced ML technologies, platforms, and frameworks, balancing performance and cost.
• Collaborate with cross-functional teams (Software Dev, QA, Product) to integrate analytic models into the hirify.global Platform.
• Establish quality controls and ethical standards for PII and IP protection and product delivery.
• Mentor junior engineers and scientists to drive technical excellence.

Requirements

• M.S. or Ph.D. degree in Computer Science, Engineering, Physics, or a related technical field.
• Proven track record in analytic software, data engineering, or ML, specifically with cloud-based distributed architectures and large datasets.
• Strong proficiency in two or more languages: C, C++, Java, or Python, along with SQL and No-SQL databases.
• Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration using Docker and Kubernetes.
• Strong knowledge of computer science fundamentals, agile development, and CI/CD practices.
• Background in fintech, financial services, insurance, or other regulated domains.

Nice to have

• Experience with monitoring and observability tools like Prometheus, Grafana, Datadog, or OpenTelemetry.
• Familiarity with AI governance, including model explainability, prompt versioning, and audit-readiness.
• Experience with A/B testing and performance optimization.

Culture & Benefits

• Competitive compensation and comprehensive rewards programs.
• Inclusive, people-first work environment emphasizing work/life balance.
• Culture based on ownership, customer delight, and mutual respect.
• Access to employee resource groups and social events to promote camaraderie.
• Opportunities for significant professional growth in the field of Big Data analytics.