Project Manager, MLOps

PERSOL SINGAPORE PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

PERSOL SINGAPORE PTE. LTD. seeks a senior MLOps leader to transform production AI platforms, spanning edge and cloud.

Responsibilities include roadmapping, managing AI projects, and mentoring data scientists while aligning with stakeholders. Strong CI/CD, cloud, and Kubernetes/OpenShift expertise are essential.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related ML field.
• Minimum 6 years in MLOps/AI/Cloud/DevOps, especially in manufacturing environments.
• At least 4 years building and deploying large-scale ML applications.
• 2+ years direct management of agile teams.
• Expertise with CI/CD, MLOps, and cloud infrastructure.
• Experience with Kubernetes/OpenShift and cloud-native architectures.
• Strong leadership, communication, and stakeholder management skills.
• Relevant certifications (CKA, AWS) are a plus.

Responsibilities

• Define and execute the roadmap for MLOps infrastructure transformation for edge and cloud.
• Manage AI projects: planning, execution, monitoring, and risk reporting.
• Champion Agile/Scrum methodologies to optimize outcomes.
• Lead migrations while ensuring performance, security, and cost-efficiency.
• Establish data preparation strategies to enhance data usability for MLOps.
• Direct a team of data scientists to develop future AI/MLOps strategies.
• Collaborate with cross-functional teams to align with objectives.
• Prepare reports and present findings to stakeholders.
• Contribute to technical documentation and standards.
• Mentor junior engineers and support their growth.

Skills

Leadership

Agile & Scrum

Project coordination

Data handling

Model training/testing

CI/CD

Cloud infrastructure

Stakeholder management

Communication

Performance monitoring

Education

Bachelor's degree in Computer Science/Engineering or related ML field

CKA Certification

AWS Certifications

Tools

Kubernetes

OpenShift

PostgreSQL

InfluxDB

Cloud infrastructure

Job description

Brief Summary:

This role offers a unique opportunity to lead MLOps initiatives, transforming the technical foundation for applications and cloud infrastructure. You will drive innovation and best practices in AI-driven MLOps for production-scale deployment.

Responsibilities:

• Define and execute the roadmap for MLOps infrastructure transformation encompassing edge and cloud.
• Manage AI projects, including planning, execution, monitoring, and reporting on project milestones and risks.
• Champion Agile and Scrum methodologies to optimize project outcomes.
• Lead migrations while ensuring performance, security, and cost-efficiency.
• Establish data preparation strategies to enhance data usability for MLOps.
• Direct a team of data scientists to develop future AI and MLOps strategies.
• Collaborate with cross-functional teams to ensure alignment with project objectives.
• Prepare comprehensive reports on project progress and challenges while presenting findings to stakeholders.
• Contribute to the development and maintenance of technical documentation and standards.
• Mentor junior engineers and facilitate their professional growth.

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, or a related field in machine learning.
• Minimum of 6 years of experience in MLOps, AI, Cloud, or DevOps, particularly in manufacturing environments.
• At least 4 years of experience in building and deploying large-scale machine learning applications.
• A minimum of 2 years of direct management experience leading agile teams.
• Proficiency in AI/ML project coordination, data handling, and model training/testing.
• Deep expertise with CI/CD pipelines, MLOps practices, and cloud infrastructure.
• Familiarity with databases such as PostgreSQL and InfluxDB, including cloud migration experience.
• Hands-on experience with Kubernetes, OpenShift, and cloud-native architectures.
• Strong leadership, communication, and stakeholder management abilities.
• Relevant certifications, including Certified Kubernetes Administrator (CKA) and AWS certifications.
• Demonstrated experience in performance monitoring and optimization in cloud settings.