Home UAE Engineer - ML Ops

Home UAE Engineer - ML Ops

Engineer - ML Ops

Full time at Core42 in UAE
Posted on December 31, 2024

Job details

Responsibilities

  • Design, implement, and manage CI/CD pipelines tailored for machine learning workflows.
  • Ensure that machine learning models are properly versioned and deployed into production, staging, or testing environments automatically.
  • Collaborate with data scientists and software engineers to optimize the automation process for training, validating, and deploying machine learning models.
  • Continuously monitor the performance and reliability of CI/CD pipelines and make adjustments as necessary.
  • Set up environments and fully implement scalable machine learning operations.
  • Continuously monitor, optimize, debug, and automate MLOps pipelines for increased quality and efficiency—including pipeline level, module level, and system-level inspection.
  • Develop & maintain the infrastructure & tools that facilitate the deployment and monitoring of our ML algorithms in production.
  • Keep abreast of the latest technology trends to drive standard methodologies and stay ahead of the curve.
  • Document and track all systems, pipelines, and best practices.
Qualifications
  • Minimum of 3 years experience in setting up and maintaining CI/CD pipelines, preferably in a machine learning context.
  • Strong understanding of containerization and orchestration tools such as Docker and Kubernetes.
  • Familiarity with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Proficient in scripting languages such as Python, Bash, or Shell for automation tasks.
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