Sr Machine learning Engineer
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Role details
Tech stack
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Job description
We’re looking for a Sr Machine Learning engineer with a strong focus on MLOps to join our growing team. In this role, you’ll own the end-to-end infrastructure and automation of ML pipelines, with a focus on deploying, scaling, monitoring, and maintaining real-time and batch machine learning workflows in production environments.
This role collaborates closely with data scientists, IT, and platform teams to ensure ML models are production-ready, reliable, and observable at scale.
Roles & Responsibilities
- Own, design, build, and maintain real-time and batch ML and pipelines supporting the end-to-end ML lifecycle.
- Develop infrastructure and tooling for continuous integration, testing, deployment, and retraining of ML models.
- Implement and operate feature stores, model registries, and orchestration frameworks for reproducible ML workflows.
- Deploy and serve ML models in low-latency and high-throughput production environments using containerized microservices.
- Implement robust monitoring systems for Model Performance, Data quality, and Operational health.
- Build automated alerting and dashboarding for visibility into ML system health.
- Ensure model traceability, auditability, and governance practices.
- Optimize infrastructure on cloud platforms (AWS) using Infrastructure as Code.
- As part of our ML operation team, this role will be responsible to occasionally be on call over the weekends in the events of incidents.
Requirements
- 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or related role.
- Proficiency in Python and ML libraries (e.g., scikit-learn,…)
- Experience with MLOps frameworks and tools
- Strong understanding of containerization and deployment (Docker, Kubernetes).
- Proficiency with AWS and IaC tools (Terraform, CloudFormation).
- Experience with monitoring and observability stacks ( Grafana, CloudWatch, Opsgenie, Datadog).
- Familiarity with streaming and batch data systems ( Spark, PySpark, Kenises).
- Excellent problem-solving and communication skills; comfortable working cross-functionally.
About the company
Ria Money Transfer, a business segment of Euronet Worldwide, Inc. (NASDAQ: EEFT), delivers innovative financial services including fast, secure, and affordable global money transfers to millions of customers along with currency exchange, mobile top-up, bill payment and check cashing services, offering a reliable omnichannel experience. With over 600,000 locations in nearly 200 countries and territories, our purpose remains to open ways for a better everyday life.
We believe we can create a world in which people are empowered to build the life they dream of, no matter who they are or where they are. One customer, one family, one community at a time.
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