ML Software Engineer

Ready to take your career global?

Make your mark at one of the biggest names in payments.

We are seeking an experienced Senior ML Software Engineer to join our ML team, with a strong focus on payment optimization. You will be the primary software engineering expert for a product area, working as part of a cross-functional agile team and owning the successful launches and ongoing operations of high-profile products in production.

This is a senior software engineering / MLOps role focused on building and operating production services and platform capabilities, not a model research role. Data science experience is valuable but secondary to production engineering and operational ownership. Your focus will be on driving new feature delivery, maintaining operational excellence, and collaborating on enhancements to our shared ML platform.

In addition to technical expertise, this job requires strong collaboration skills. You will work closely with cross-functional collaborators—including ML research engineers, product managers, and platform engineers—to deliver scalable, reliable, and low-latency ML solutions.

Software and Service Delivery:

Technical Ownership and Stewardship:

Contribute to the ML platform:

Operational Excellence:

Leadership:

• 5+ years as an software engineer, MLOps Engineer, or similar, with hands-on production experience operating backend services or ML-backed APIs
• Proven expertise deploying ML models as production services, API design, and service integration
• Strong Python skills and service/backend engineering experience (ideally in FastAPI/OpenAPI, Flask, Go, or Java)
• Production experience with containerization and orchestration (ideally Kubernetes – EKS/OpenShift), Docker, and IaC (ideally Terraform or Terraform Cloud)
• Ownership of CI/CD pipelines, monitoring/alerting, and on-call/incident response
• Experience monitoring, troubleshooting, optimizing production ML systems (latency, throughput, availability)
• Excellent communication and cross-functional collaboration skills
• Demonstrated ability to work independently, navigate ambiguity, resolve blockers, and deliver results with a strong sense of urgency
• Experience with MLFlow / model versioning, SageMaker Pipelines, or Databricks
• Familiarity with real-time, high-volume data products and low-latency data stores (e.g. DynamoDB)
• Automated testing and validation frameworks for models and services
• Experience in regulated industries (e.g. PCI, HIPAA, SOC2), large companies, or mature engineering teams
• Optional familiarity with LLM tooling / RAG

Our inclusive and global teams win together every day. We’re proud to have the best minds in the industry, whom you can learn from as you grow your career. The people, the energy, and the connections are unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that transcend borders.

What makes a Globalpayer?

Globalpayers think like a client, act like an owner, and win as one team. We’re curious and innovative – always finding better ways to deliver impact. We empower each other to make decisions, and our passion drives excellence in everything we set out to do.

Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.