Senior Manager Data Engineering and MLOps

About this kind of role

What a Senior Manager Data Engineering and MLOps usually does. The employer's own details are in the listing.

Typically does: This role focuses on building and maintaining the infrastructure that supports data science and machine learning initiatives. Responsibilities include designing, developing, and deploying data pipelines, automating machine learning workflows, and ensuring data quality and reliability. Senior Data Engineering and MLOps Managers often lead teams and collaborate with data scientists, software engineers, and other stakeholders. They are responsible for the scalability, performance, and security of data and machine learning systems.

Tools and skills: Proficiency in cloud platforms (e.g., AWS, Azure, GCP), programming languages like Python and Scala, data warehousing technologies, containerization (Docker, Kubernetes), and CI/CD pipelines is generally expected.

Good fit for: Individuals with strong technical leadership skills, a deep understanding of data engineering principles, and a passion for automating and optimizing machine learning processes typically excel in this position.