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

Were a FinTech thats using insight from customers and colleagues worldwide to improve financial services for families, small businesses, multinational corporations, and non-profit organizations. Were 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

Well be looking to you to Operate within an Agile team and participates in all aspects of that teams 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.

As a Machine Learning Engineer, you will join to support a team of passionate Artificial Intelligence developers who design, develop, test, and integrate models with applications of high complexity. We operate in a collaborative, open environment focused on using Agile development techniques to autonomously deliver solutions quickly and effectively.

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 bachelors 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 lets connect the world

Western Union is transforming its business and shaping the financial services sector by driving quality, convenience, and customer service to new levels of excellence. Its an exciting time for our organization, as the largest cross-border money transfer operator, trusted by millions of consumers around the world. If youre ready to unleash your potential to help drive change through bottom-up innovation, apply now.

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

Inclusion and diversity are fundamental to our culture and success. Western Union is proud to be an Equal Opportunity-Affirmative Action Employer. The company will provide accommodation to applicants, including those with disabilities, during the recruitment process, in accordance with applicable laws. We are committed to equal employment opportunity regardless of race, color, religion, sex (including pregnancy or related medical conditions), national origin, veteran status, sexual orientation, gender identity, age, disability, marital status, or any other protected category.

#LI-YV1