Sr Machine learning Engineer

Ria Money Transfer
United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Continuous Integration Data Systems Monitoring of Systems Python (Programming Language) Machine Learning Data Streaming Datadog Grafana Apache Spark Model Validation Cloudformation
+11 more
Containerization Pyspark Scikit Learn Kubernetes Infrastructure Automation Frameworks Machine Learning Operations Cloudwatch Terraform Docker Pagerduty Microservices

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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