MLOps Engineer

Petah Tikva, IL

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Description

We are interested in welcoming an MLOps Engineer to join our diligent team and design, build, test, document, and debug machine learning infrastructure, following industry and company standards. 

Requirements

Essential:

  • Prior experience in designing, building, testing, and maintaining machine learning (ML) infrastructure to empower data scientists to rapidly iterate on model development
  • 2+ years relevant experience in developing continuous integration, CI/CD deployment pipelines (e.g., Jenkins, GitHub Actions), and bringing ML models to CI/CD pipelines
  • Familiarity with data, feature and pipeline versioning of ML assets using tools such as CML-DVC or similar
  • Proficient knowledge of Git, Docker, Containers, and Kubernetes
  • Fluency in Infrastructure as Code tools (e.g., Terraform, Ansible, or Chef, etc.)
  • Fluency in common system maintenance and scripting languages, such as Python, Bash Shell, etc.
  • Good knowledge of Linux system administration
  • E2E production experience with Azure ML, Azure ML pipelines, AWS SageMaker, and GCP AI Platform
  • Familiarity with setting up hyperparameter tuning/optimization tools, and using them to manage versioning and experiments, model deployment and monitoring, such as Optuna, Kubeflow, AWS SageMaker, Hydrosphere, Seldon, or similar
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Ansible AWS Azure CI/CD Docker GCP Git GitHub Jenkins Kubeflow Kubernetes Linux Machine Learning ML infrastructure ML models MLOps Model deployment Pipelines Python SageMaker Seldon Terraform Testing

Perks/benefits: Career development

Region: Middle East
Country: Israel

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