HYUNDAI MOTOR GROUP INNOVATION CENTER IN SINGAPORE PTE. LTD.
Project Manager, MLOps
Leads MLOps projects at Hyundai Motor Group's Singapore innovation center, building scalable edge/cloud MLOps infrastructure for a Software Defined Factory. Manages AI project delivery, a team of data scientists, and tooling across Kubernetes, OpenShift, AWS, CI/CD pipelines, PostgreSQL/InfluxDB, and IoT platforms.
- Compensation
- SGD 7K–SGD 12K / mo
- Location
- Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Devops
- Posted
Skills
Must have
- 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 strong 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/testing (NLP, LLM)
- 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 from legacy systems to cloud-native environments
- Strong 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 cloud-native architectures
- Strong knowledge of cloud platforms (AWS) and hybrid/multi-cloud strategies for automated data and CI/CD pipelines
- Excellent leadership, communication, and stakeholder management skills
Nice to have
- AWS cloud certifications
- CI/CD DevOps certifications or 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 via APIs, virtualization, or portals
Full description
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.