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 cloud services (Azure / AWS / GCP)
Experience in frameworks such as Databricks
Familiarity with tools like MLflow, W&B, and Neptune AI from the operations perspective
Experience with containerization technologies like Docker and basic knowledge of container orchestration platforms like Kubernetes
Understanding of continuous integration and continuous deployment (CI / CD) practices, as well as experience with related tools like GitHub Actions or GitLab CI