Project Manager, Machine Learning Ops - #1171087

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 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.

[Technical Leadership & Collaboration]

• Prepare reports on project progress, challenges, and achievements.
• Collaborate closely with IoT/PLC engineers and domain experts.
• Present findings to stakeholders and senior management.
• Contribute to and maintain comprehensive documentation, design decisions, and technical standards via playbooks.
• Mentor junior engineers through training and support team members on AI and ML tools and techniques.
• Develop training materials and conduct workshops as needed to enhance cross-functional team capabilities.

What You'll Bring

• Bachelor's degree in Computer Science, Computer Engineering, or another machine learning-related technical field.
• 6+ years of experience in MLOps, AI, Cloud, DevOps, and related domains, with a background in manufacturing plant environments.
• 4+ years of experience building and deploying successful machine learning software applications at scale (globally/regionally).
• 2+ years of direct people management experience leading software and ML agile teams.
• Experience as an AI/ML Project Coordinator with familiarity in prompt engineering, AI/ML workflows, data handling, and model training and testing (NLP, LLM, etc.).
• Experience as an AI/MLOps consultant with team coordination responsibilities.
• Ability to lead a team of Data Scientists and create comprehensive documentation.
• Deep experience with CI/CD pipelines, MLOps practices and tools, cloud infrastructure architecture, and launching complex ML applications in cloud environments.
• Experience with PostgreSQL, InfluxDB, and other databases, including migration and modernization from legacy systems to cloudnative environments.
• background in software development, Git version control, test automation, and code reviews.
• Experience in performance monitoring and optimization to ensure scalability and efficiency.
• Hands-on experience with Kubernetes, OpenShift, containers, and cloudnative architectures.
• knowledge of cloud platforms (AWS) and hybrid/multi-cloud strategies for launching automated data and CI/CD pipelines.
• Excellent leadership, communication, and stakeholder management skills.
• Certified Kubernetes Administrator (CKA) certification.
• AWS cloud certifications.
• CI/CD DevOps certifications or other ITIL and TOGAF certifications.
• Experience with PTC Kepware and Thingworx, integrated into GitLab/GitHub as a CI/CD pipeline with global release experience.
• Hands-on expertise with OpenStack VM, VMware, Red Hat OSV, and CaaS infrastructure.
• Experience creating and managing CaaS environments, including deploying and scaling containers and applications through APIs, virtualization, or portals.

Navneet

Goel| EA LicenseNo. : 02C3423 | Reg No. R1982194