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Project Manager, Machine Learning Ops

seniorhybrid10,000 SGD · period not specifiedSingapore, SGScore 75/1003w ago
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📊 DevOps / SRE: salaries and demand on the market
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Machine LearningApplication ArchitectureDevelopment ReviewsEnterprise IT InfrastructureAI AgentsAzure DevOpsAzure Machine LearningSystem TestingTransition PlanningVendor Relationship ManagementDeveloping FrameworksPrompt Engineering
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Description
Location:- Bu lim Avenue Your Mission This position will be responsible for building scalable MLOps as a technical foundation for applications and our middleware/cloud towards our Software Defined Factory (SDF). This is a great opportunity to apply your talent in working on leading-edge MLOps for manufacturing, building state-of-the-art MLOps features and improving existing practices across various tools, applications and platforms. You will drive innovation in AI-driven MLOps designed for production-scale deployment. What To Expect [Project Leadership] Define and execute the roadmap for MLOps edge and cloud infrastructure transformation. Coordinate cross-functional teams, monitor project performance, and report progress including risks and mitigations. Manage overall AI projects (planning, execution, and monitoring), including tracking project milestones and deliverables toward timely completion. Champion Agile, Scrum, or hybrid methodologies as appropriate. [Technical AI and MLOps] Lead medium-scale migrations, ensuring seamless transitions with minimal disruption while optimizing performance, security, and cost. Implement and facilitate data preparation and placement strategies to optimize data usability. Lead a team of data scientists on future AI and MLOps strategies, including focus on an AI/MLOps Hub for agentic agents, model metrics, and data integrity. Establish and refine MLOps best practices, tools, and frameworks to enhance developer experience, agility, and effic
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