Senior ML & Data Engineer

Job Description

At XE, we live currencies. We provide a comprehensive range of currency services and products, including our Currency Converter, Market Analysis, Currency Data API and quick, easy, secure Money Transfers for individuals and businesses. We leverage technology to deliver these services through our website, mobile apps and by phone. Last year, we helped nearly 300 million people access information about the currencies that matter to them, and over 150,000 people used us to send money overseas. Thousands of businesses relied on us for information about the currency markets, advice on managing their foreign exchange risk or trusted us with their business-critical international payments. At XE, we share the belief that behind every currency exchange, query or transaction is a person or business trying to accomplish something important, so we work together to develop new and better currency services that put our customers first. We are proud to be part of Euronet Worldwide (Nasdaq: EEFT), a global leader in processing secure electronic financial transactions. Under Euronet, we have brought together our key brands – XE, HiFX and Currency Online– to become the business that XE is today.

The Senior ML and Data Engineer will be responsible for designing, building, and maintaining the infrastructure, platform, and processes required to successfully deploy and manage machine learning models in a production environment. This includes tasks such as developing Entity Resolution Solutions, building production features, and integrating ML solutions into production systems. 

This role will work closely with data scientists and software engineers to ensure that machine learning models can seamlessly integrate into existing systems and processes. The role will also be responsible for identifying and implementing best practices for managing and optimizing machine learning models in production. 

Thea ideal candidate for this role will have extensive experience in both software engineering and machine learning, as well as a deep understanding of the challenges and best practices involved in deploying machine learning models in production. Experience working with cloud computing platforms such as AWS or GCP is a plus. 

What You'll Do

• Build and maintain production-level real-time and batch MLOps pipelines. 

• Deploy backend and real-time machine learning features and models. 

• Design and develop multiple ML microservices and APIs. 

• Monitor and optimize the performance of machine learning systems in production. 

• Work closely with data scientists and software engineers to ensure the successful integration of machine learning microservices into existing systems and processes. 

• Mentor junior engineers and provide technical leadership within the team. 

• Stay updated with the latest advancements in machine learning and data engineering technologies and methodologies. 

Who You Are

• Degree in Computer Science, Software Engineering, or a related discipline. 

• Extensive experience in developing and maintaining API services in a cloud environment. 

• Strong object and service-oriented programming skills in Python to write efficient, scalable code. 

• Knowledge of modern containerization techniques - Docker, Docker Compose. 

• Experience with relational and unstructured databases and data lakes. 

• An understanding of business goals and how data policies can affect them. 

• Effective communication and collaboration skills. 

• A strong understanding of the concepts associated with privacy and data security. 

• Proven experience in mentoring and leading engineering teams. 

• Familiarity with CI/CD pipelines and DevOps practices. 

Perks & Benefits

• Annual salary increase review
• End of the year bonus (Christmas bonus)
• ESPP (Employee Stock Purchase Plan)
• 30 days vacation per year
• Insurance guaranteed for employees ( Health, Oncological , Dental , Life Insurance)
• No fee when using RIA service/wire transfers

We want Xe to be a great place to work and to ensure that our communities are represented across our workforce.  A vital part of this is ensuring we are a truly inclusive organisation that encourages diversity in all respects. 

At Xe we are committed to making our recruitment practices barrier-free and as accessible as possible for everyone.  This includes making adjustments or changes for disabled people, neurodiverse people or people with long-term health conditions. If you would like us to do anything differently during the application, interview or assessment process, including providing information in an alternative format, please contact us on recruitment@xe.com