Typically 8+ years Proven experience working in a similar MLOps or DevOps role within a technical engineering environment. required
Typically 8+ years Experience with programming languages such as Python, Java, or similar, along with experience with relevant ML frameworks (TensorFlow, PyTorch, etc.). required
Experience with CI/CD pipelines, version control systems (Git), and automation tools.
Knowledge of end-to-end SDLC process in EDW, Data Lake, BI & MLOps projects
Dimensional Modeling and Data warehouse, ODS concepts, such as star schemas, snowflakes, and normalized data models
Strong knowledge of containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
Solid understanding of machine learning concepts, model development, and deployment strategies.