MLOps Engineer - BlueSnap : Job Details

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.

• 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