Hyundai Motor Group Innovation Center Singapore (HMGICS)

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]
<ul>
<li>Define and execute the roadmap for MLOps edge and cloud infrastructure transformation.</li>
<li>Coordinate cross-functional teams, monitor project performance, and report progress including risks and mitigations.</li>
<li>Manage overall AI projects (planning, execution, and monitoring), including tracking project milestones and deliverables toward timely completion.</li>
<li>Champion Agile, Scrum, or hybrid methodologies as appropriate.</li>
</ul>
[Technical AI and MLOps]
<ul>
<li>Lead medium-scale migrations, ensuring seamless transitions with minimal disruption while optimizing performance, security, and cost.</li>
<li>Implement and facilitate data preparation and placement strategies to optimize data usability.</li>
<li>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.</li>
<li>Establish and refine MLOps best practices, tools, and frameworks to enhance developer experience, agility, and efficiency.</li>
<li>Drive continuous improvements in MLOps edge/cloud performance, scalability, optimization, and robust system testing delivery.</li>
<li>Manage relationships with key technology vendors, negotiate contracts, and ensure optimal utilization and cost efficiency.</li>
<li>Review industry trends with continuous evaluation of cutting-edge technologies to improve developer reliability and efficiency.</li>
<li>Demonstrate experience in leading enterprise-scale edge and MLOps transformations (regionally/globally) for ML models and pipelines to the cloud.</li>
<li>Develop and enforce best practices for infrastructure, application deployment, and operations within the IoT Platform.</li>
<li>Develop your team by coaching, facilitating career progression, and providing growth opportunities.</li>
<li>Regularly communicate with team members, provide performance feedback, and conduct evaluations.</li>
<li>Build collaborative partnerships with Software Architects, Technical Leads, Product Owners, Product Managers, Data Scientists, Data Engineers, and Software Developers.</li>
</ul>
[Technical Leadership &amp; Collaboration]
<ul>
<li>Prepare reports on project progress, challenges, and achievements.</li>
<li>Collaborate closely with IoT/PLC engineers and domain experts.</li>
<li>Present findings to stakeholders and senior management.</li>
<li>Contribute to and maintain comprehensive documentation, design decisions, and technical standards via playbooks.</li>
<li>Mentor junior engineers through training and support team members on AI and ML tools and techniques.</li>
<li>Develop training materials and conduct workshops as needed to enhance cross-functional team capabilities.</li>
</ul>
What You'll Bring
<ul>
<li>Bachelor's degree in Computer Science, Computer Engineering, or another machine learning-related technical field.</li>
<li>6+ years of experience in MLOps, AI, Cloud, DevOps, and related domains, with a strong background in manufacturing plant environments.</li>
<li>4+ years of experience building and deploying successful machine learning software applications at scale (globally/regionally).</li>
<li>2+ years of direct people management experience leading software and ML agile teams.</li>
<li>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.).</li>
<li>Experience as an AI/MLOps consultant with team coordination responsibilities.</li>
<li>Ability to lead a team of Data Scientists and create comprehensive documentation.</li>
<li>Deep experience with CI/CD pipelines, MLOps practices and tools, cloud infrastructure architecture, and launching complex ML applications in cloud environments.</li>
<li>Experience with PostgreSQL, InfluxDB, and other databases, including migration and modernization from legacy systems to cloud-native environments.</li>
<li>Strong background in software development, Git version control, test automation, and code reviews.</li>
<li>Experience in performance monitoring and optimization to ensure scalability and efficiency.</li>
<li>Hands-on experience with Kubernetes, OpenShift, containers, and cloud-native architectures.</li>
<li>Strong knowledge of cloud platforms (AWS) and hybrid/multi-cloud strategies for launching automated data and CI/CD pipelines.</li>
<li>Excellent leadership, communication, and stakeholder management skills.</li>
<li>Certified Kubernetes Administrator (CKA) certification.</li>
<li>AWS cloud certifications.</li>
<li>CI/CD DevOps certifications or other ITIL and TOGAF certifications.</li>
<li>Experience with PTC Kepware and Thingworx, integrated into GitLab/GitHub as a CI/CD pipeline with global release experience.</li>
<li>Hands-on expertise with OpenStack VM, VMware, Red Hat OSV, and CaaS infrastructure.</li>
<li>Experience creating and managing CaaS environments, including deploying and scaling containers and applications through APIs, virtualization, or portals.</li>
</ul>

Project Manager, MLOps

Project Manager, MLOps

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