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Machine Learning Engineer, Risk Systems

hace 1 mes

Santa Ana, Costa Rica Western Union A tiempo completo

**Machine Learning Engineer, Risks Systems
- Santa Ana, Costa Rica**

Are you ready to join a team in a global company where you will be responsible to plan and build pre-production and production technology systems in a hybrid cloud/data center environment? Join Western Union as a Machine Learning Engineer.

**Motivated by our values: purpose driven, globally minded, and trustworthy & respectful**

We’re a FinTech that’s using insight from customers and colleagues worldwide to improve financial services for families, small businesses, multinational corporations, and non-profit organizations. We’re a team of over 8,000 people spanning 200 countries and territories. We believe when money moves, better things happen.

**Better requires process discipline and simplification**

We’ll be looking to you to Operate within an Agile team and participates in all aspects of that team’s work providing support for model implementation, performance monitoring, calibration,
documenting and communicating modeling processes and model results to users and platform leads, working within established guidelines such as coding standards, workflow, or tool standards.

For such a detail-driven role, you will have 4+ years of experience in system design, software development, API (programing language) utilizing Java /Python, database, and data management. At least 2+ years of Working knowledge about containers (Docker) and container orchestration preferably Fargate (OpenShift or Kubernetes), hands-on experience with any streaming frameworks (Spark / Kafka Streams), and experience with a batch processing system preferably Spark.

You will need at least 3+ years of experience with Agile development processes including Test Driven Development and/or Test Automation, 3+ years of experience with infrastructure as code, automation, troubleshooting, and root cause analysis, 2+ years of experience leveraging DevOps and lean development principles such as Continuous Integration, delivery and Monitoring tools like Splunk, Prometheus. Also 2+ years of experience working with Amazon Web Services (AWS) Sage maker or Artificial intelligence technologies and frameworks.

Ideally, you will have a bachelor’s degree in Information Technology or Computer Science or equivalent discipline, also 5-8 years’ experience in Executing and Delivering technology-focused projects, Advanced knowledge of software development life cycles (waterfall, agile, etc.) and must be a problem solver with demonstrated experience in solving difficult technology challenges, with a can-do attitude; possess strong leadership skills in guiding and directing teams thru the software development life cycle process.

**Join us, and let’s connect the world**

We’re a company on the move, and we want our people to grow and develop. You’ll have plenty of opportunities to learn new skills and build a career, as well as a great salary and benefits package.

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