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Machine Learning Process Optimization Specialist
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Company Overview
We are GetInData, a part of Xebia, and we're passionate about helping organizations optimize their machine learning processes.
Job Description
The MLOps Engineer plays a vital role in streamlining machine learning project lifecycles by designing and automating workflows, implementing CI/CD pipelines, ensuring reproducibility, and providing reliable experiment tracking.
Required Skills and Qualifications
- Proficiency in Python, as well as experience with scripting languages like Bash or PowerShell
- Knowledge of at least one orchestration and scheduling tool, for example, Airflow, Prefect, Dagster, etc
- Understanding of ML algorithms and distributed training, e.g., Spark / PyTorch / TensorFlow / Dask / Ray
- Experience with GCP and BigQuery DWH platform
- Hands-on experience with Kubeflow and Vertex AI
- Familiarity with tools like MLFlow from the operations perspective
- Experience with containerization technologies like Docker and knowledge of container orchestration platforms like Kubernetes
- Understanding of continuous integration and continuous deployment (CI/CD) practices
Responsibilities
- Creating, configuring, and managing GCP and K8s resources
