Project Manager, Machine Learning Ops

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