Full-time
Head of Machine Learning Engineering Operations
Posted by MDAEdge • edmonton, division no. 11, Canada
About the Role
- Work closely with the respective managers across the data organization to provide the right level of resources and skillsets to deliver AI products.
- Hire and build a high performing MLOps team.
- Lead client's Client development standards and best practices.
- Collaborate with others in engineering and product leadership to create and own the long-term roadmap and deliverables for your team.
- Effectively communicate the roadmap and strategy within the team and across the organization.
- Create and manage processes that enable team members to do their best work.
- Develop assets, accelerators, and thought capital for your practice by providing best in class framework and reusable components.
- Work in agile pods to design and build cloud hosted, Client products with automated pipelines that run, monitor, and retrain Client Models.
- Oversee the design of AI/Client apps and the implementation of automated model and pip...
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