Our client, a global leader in the financial technology sector, is seeking a highly skilled Machine Learning Engineer to design and deliver large-scale ML-driven risk systems to support payments, credit underwriting, compliance, and financial risk management.
Requirements
- Expertise in ML pipelines, data engineering, and real-time/streaming risk scoring.
- Hands-on programming expertise (Python, Java, or Scala) with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of automation, observability, and reliability engineering (SRE).
- Strong knowledge of risk systems, financial services, or payments technology (preferred).
- 8+ years of experience in software engineering, with at least 5+ years building and scaling machine learning systems.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (PhD preferred).
Responsibilities
- Architect, design, and optimize ML-powered risk services including data ingestion, feature engineering, decisioning, and monitoring.
- Develop distributed, high-throughput, low-latency pipelines for online and offline risk modeling.
- Integrate ML systems into enterprise platforms, ensuring security, scalability, and resilience.
- Champion modern ML practices including cloud-native development, automation, and observability.
- Mentor engineers and raise the technical bar through training, reviews, and technical guidance.
- Drive operational excellence with monitoring, testing, and reliability engineering best practices.
- Stay ahead of industry trends in AI/ML, financial risk, and cloud computing, applying them for business impact.
Other
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (PhD preferred).
- 8+ years of experience in software engineering, with at least 5+ years building and scaling machine learning systems.
- Proven experience mentoring engineers and influencing cross-functional teams.
- Excellent communication skills to articulate technical solutions to executives and engineering peers.
- Visa Sponsorship: Not available
