Senior ML Engineer, Data

November 8

Apply Now

Receive Emails with Similar Jobs

Xe.com

WebsiteLinkedInAll Job Openings

Currency converter and other online tools • foreign exchange transactions • currency data feed • currency mobile apps • money transfers

201 - 500

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. • 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. • The 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.

Requirements

• 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.

Benefits

• Annual salary increase review • End of the year bonus (Christmas bonus) • ESPP (Employee Stock Purchase Plan) • Paid day off for birthday • 15 days vacation per year • Insurance guaranteed for employees (Health, Oncological, Dental, Life) • No fee when using Ria service/wire transfers