ML Production Engineer, San Antonio / Plano, TX (Onsite)

Applab Systems Inc

  • Plano, TX
  • 22 days ago

    Highlights

    The ideal candidate will have strong Python coding skills, SQL expertise, experience with Docker and Universal Base Images (UBI), and a willingness to learn new technologies and share knowledge with the team. We are seeking a motivated professional to develop and maintain production-ready machine learning pipelines.

    Numbers & Facts

    LocationPlano, TX

    Description

    JOB DETAIL
    Job Title ML Production Engineer
    Job Location San Antonio / Plano, TX (Onsite)
    Job Duration 6+ Months Contract
    Employment Type W-2 Only

    Job Summary:
    We are seeking a motivated professional to develop and maintain production-ready machine learning pipelines. The ideal candidate will have strong Python coding skills, SQL expertise, experience with Docker and Universal Base Images (UBI), and a willingness to learn new technologies and share knowledge with the team.
    Key Responsibilities:
    • Develop, maintain, and optimize machine learning production pipelines.
    • Write clean, efficient, and maintainable Python code.
    • Develop and optimize SQL queries for data processing and analysis.
    • Conduct code reviews and ensure adherence to coding standards and best practices.
    • Build and manage Docker containers using Universal Base Images.
    • Support the deployment and maintenance of production ML workflows.
    • Troubleshoot pipeline issues and improve system performance and reliability.
    • Collaborate with team members to share knowledge and continuously improve engineering practices.
    Required Skills and Qualifications:
    • Experience with machine learning models and production pipelines.
    • Strong Python programming and coding skills.
    • Proficiency in SQL.
    • Experience with code reviews and software engineering best practices.
    • Hands-on knowledge of Docker and Universal Base Images (UBI).
    • Strong problem-solving and troubleshooting abilities.
    • Positive attitude toward learning, teaching, and collaboration.
    • Availability to work onsite five days a week in San Antonio or Plano, TX.

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