We are seeking a highly skilled ML Ops Engineer to join our growing data team. The ideal candidate will have expertise in data pipeline orchestration, data lake and warehouse architecture, infrastructure as code, and data extraction from both structured and unstructured data sources.
Requirements
- Bachelor's/Master’s/PhD degree in Computer Science, Engineering, or a related field; or equivalent professional experience.
- 5+ years of experience in data engineering or a related field.
- Strong expertise in data pipeline orchestration tools such as Apache Airflow.
- Proven track record of designing and implementing data lakes and warehouses (experience with Azure is a plus).
- Demonstrated experience with Terraform for infrastructure provisioning and management.
- Solid understanding of MLOps practices, including model training, deployment, and monitoring.
- Hands-on experience with Kubernetes and containerised environments.
