- Solid Python and SQL skills.Experience with ML platforms such as Databricks, MLflow, SageMaker.
- Knowledge of CI/CD tools and DevOps practices.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Understanding of model lifecycle management and monitoring concepts.
- Familiarity with containerization and orchestration (Docker, Kubernetes) is a plus.