Senior ML & Data Engineer

XE provides a comprehensive range of currency services and products, including Currency Converter, Market Analysis, Currency Data API and Money Transfers for individuals and businesses.
Chile
Data
Senior Software Engineer
Remote
Finance

Description For Senior ML & Data Engineer

At XE, we provide a comprehensive range of currency services and products, including Currency Converter, Market Analysis, Currency Data API, and 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 currency information and over 150,000 people send money overseas.

The Senior ML and Data Engineer will be responsible for designing, building, and maintaining the infrastructure, platform, and processes for deploying and managing machine learning models in production. Key responsibilities include:

  • Building and maintaining production-level real-time and batch MLOps pipelines
  • Deploying backend and real-time machine learning features and models
  • Designing and developing multiple ML microservices and APIs
  • Monitoring and optimizing the performance of machine learning systems in production
  • Working closely with data scientists and software engineers
  • Mentoring junior engineers and providing technical leadership

The ideal candidate should have:

  • Degree in Computer Science, Software Engineering, or related discipline
  • Extensive experience in developing and maintaining API services in a cloud environment
  • Strong object and service-oriented programming skills in Python
  • Knowledge of modern containerization techniques (Docker, Docker Compose)
  • Experience with relational and unstructured databases and data lakes
  • Understanding of business goals and data policies
  • Effective communication and collaboration skills
  • Strong understanding of privacy and data security concepts
  • Proven experience in mentoring and leading engineering teams
  • Familiarity with CI/CD pipelines and DevOps practices

XE offers various perks and benefits, including annual salary reviews, bonuses, stock purchase plans, paid time off, and insurance coverage. The company is committed to diversity and inclusion, ensuring their communities are represented across the workforce.

Last updated 2 months ago

Responsibilities For Senior ML & Data Engineer

  • 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
  • Mentor junior engineers and provide technical leadership
  • Stay updated with the latest advancements in machine learning and data engineering technologies

Requirements For Senior ML & Data Engineer

Python
  • Degree in Computer Science, Software Engineering, or related discipline
  • Extensive experience in developing and maintaining API services in a cloud environment
  • Strong object and service-oriented programming skills in Python
  • Knowledge of modern containerization techniques - Docker, Docker Compose
  • Experience with relational and unstructured databases and data lakes
  • Understanding of business goals and data policies
  • Effective communication and collaboration skills
  • Strong understanding of privacy and data security concepts
  • Proven experience in mentoring and leading engineering teams
  • Familiarity with CI/CD pipelines and DevOps practices

Benefits For Senior ML & Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Equity
  • 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

Interested in this job?

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