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Senior ML & Data Engineer

Posted 2024-11-08

View full description

💎 Seniority level: Senior, Extensive experience

📍 Location: Chile

🔍 Industry: Currency services and products

🏢 Company: Xe

⏳ Experience: Extensive experience

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.
Responsibilities:
  • 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.
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Related Jobs

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🔥 Senior ML & Data Engineer
Posted 2024-11-08

📍 Brazil

🧭 Full-Time

🔍 Currency services and financial technology

🏢 Company: Xe

  • 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.
  • Experience mentoring and leading engineering teams.
  • Familiarity with CI/CD pipelines and DevOps practices.

  • 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 for integration.
  • Mentor junior engineers and provide technical leadership.
  • Stay updated with the latest advancements in machine learning and data engineering.
Posted 2024-11-08
Apply

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