Machine Learning Workflow Engineer
5 days ago
MLOps Engineers at GetInData | Part of Xebia are responsible for streamlining machine learning project lifecycles by designing and automating workflows, implementing CI/CD pipelines, ensuring reproducibility, and providing reliable experiment tracking.
About the Role
We are looking for a skilled MLOps Engineer to join our team. As an MLOps Engineer, you will be responsible for creating, configuring, and managing GCP and K8s resources, as well as managing Kubeflow and/or Vertex AI and its various components.
About You
To be successful in this role, you should have experience with Python, Bash, PowerShell, Airflow, GCP, BigQuery, Kubeflow, Vertex AI, Docker, Kubernetes, CI/CD, Spark, PyTorch, TensorFlow, and other tools like Jira, GitLab, GIT, Jenkins / GitLab, Agile.
Benefits
We offer a range of benefits, including sport subscription, private healthcare, flat structure, small teams, international projects, team events, training budget, free coffee, gym, bike parking, playroom, free snacks, free beverages, in-house trainings, and startup atmosphere.
About Us
GetInData | Part of Xebia is a dynamic company that values innovation and teamwork. We are committed to providing our employees with opportunities for growth and development.
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