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AI/MLOps Engineer

Posted 2024-03-22

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🔍 Industry: Technology

🗣️ Languages: English

Requirements:
  • The ideal candidate should have an understanding of ML projects lifecycle, hands-on experience with Kubernetes and CI/CD practices, proficiency in Python for scripting, automation and integration, and knowledge of networking including TCP/IP
  • Desirable skills include experience with various MLOps tools such as Pachyderm, DVC, KubeFlow, and MLFlow.
Responsibilities:
The AI/MLOps Engineer will be responsible for building automated reproducible pipelines for the entire ML project lifecycle, monitoring the landscape of MLOps tools, developing platform services, and communicating with end users to address their needs.Apply

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🔥 AI/MLOps Engineer
Posted 2024-11-07

📍 Ukraine

🔍 AI/ML Operations

🏢 Company: SANDBX

  • Understanding of ML-driven projects lifecycle.
  • Knowledge and hands-on experience with Kubernetes, Containerd / Docker, Helm, CI/CD practices, particularly with GitHub Actions.
  • Basic understanding of MLOps best practices (data and model versioning, experiment tracking, reproducibility, etc.).
  • Proficient in Python for scripting, automation and integration.

  • Build complex automated reproducible pipelines for the entire ML project lifecycle, including data management, experimentation, model training, deployment and monitoring in production.
  • Build reusable integrations and applications for each stage of the ML project lifecycle.
  • Monitor the MLOps tools/approaches landscape to actively identify solutions for various domain problems.
  • Participate in the development of MLOps platform services.
  • Communicate with end users to understand their pain points.
  • On-board end users to the MLOps platform.

DockerPythonKubernetesCollaborationCI/CD

Posted 2024-11-07
Apply

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