Extensive experience in data science, machine learning engineering, o data platform architecturer
Proven leadership within technical teams, ideally in cloud-firstenvironments (Azure, AWS, or GCP)
Proficiency in Python, SQL, and cloud-native data tools
Solid understanding of MLOps, including model lifecycle management (e.g. MLflow), containers (Docker/Kubernetes), and monitoring
Experience delivering Data-as-a-Serviceproducts and APIs
Excellent communication skills - able to explain complex concepts to both technical and non-technical audiences
Strong grounding in data governance, security, and privacy standards
Degree (or higher) in a relevant field such as Data Science, Computer Science, or Statistics
Desirable:
Familiarity with both object-orientedan functional programmingdparadigms