Project Manager, MLOps

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 efficiency.

• Drive continuous improvements in MLOps edge/cloud performance, scalability, optimization, and robust system testing delivery.

• Manage relationships with key technology vendors, negotiate contracts, and ensure optimal utilization and cost efficiency.

• Review industry trends with continuous evaluation of cutting-edge technologies to improve developer reliability and efficiency.

• Demonstrate experience in leading enterprise-scale edge and MLOps transformations (regionally/globally) for ML models and pipelines to the cloud.

• Develop and enforce best practices for infrastructure, application deployment, and operations within the IoT Platform.

• Develop your team by coaching, facilitating career progression, and providing growth opportunities.

• Regularly communicate with team members, provide performance feedback, and conduct evaluations.

• Build collaborative partnerships with Software Architects, Technical Leads, Product Owners, Product Managers, Data Scientists, Data Engineers, and Software Developers.