Project Manager - MLOps

Opportunity Overview

This position provides a distinct chance to spearhead MLOps-focused initiatives, revolutionizing the technical underpinnings for applications and cloud infrastructure. The role entails spearheading innovation and advocating best practices for production-grade AI-driven MLOps deployments.

Key Responsibilities

• Develop and implement a transformation roadmap for MLOps infrastructure spanning both edge and cloud platforms.
• Oversee AI projects end-to-end including planning, execution, continuous monitoring, milestone tracking, and risk management.
• Promote and apply Agile and Scrum frameworks to enhance project effectiveness.
• Lead migration efforts ensuring optimal performance, security, and cost management.
• Design strategies for data preparation to improve usability within MLOps workflows.
• Guide a team of data scientists towards shaping future AI and MLOps strategic directions.
• Work collaboratively across teams to ensure project goals are met.
• Compile detailed reports on project status and obstacles and communicate insights to relevant stakeholders.
• Support creation and upkeep of technical documents and quality standards.
• Provide mentorship to junior engineering staff facilitating their career development.

Qualifications & Requirements

• Bachelor's degree in Computer Science, Engineering, or related machine learning disciplines.
• At least six years' experience within MLOps, AI, Cloud computing, or DevOps, especially within manufacturing sectors.
• Four or more years of experience designing and deploying extensive machine learning applications.
• Minimum two years of leadership in managing agile teams.
• Solid capability in coordinating AI/ML projects covering data management and model lifecycle activities.
• In-depth knowledge of CI/CD pipelines, MLOps best practices, and cloud infrastructures.
• Experience with PostgreSQL and InfluxDB databases and migrating these services to cloud environments.
• Hands-on experience operating Kubernetes, OpenShift, and native cloud technologies.
• Exceptional leadership, communication, and ability to manage stakeholder relationships.
• Possession of certifications such as Certified Kubernetes Administrator (CKA) and AWS qualifications.
• Proven skills in monitoring and optimizing performance in cloud-based systems.

Additional Information

Interested applicants should submit their applications accordingly. Only selected candidates will be contacted. License Number: 01C4394 (PERSOL Singapore Pte Ltd). By applying, applicants consent to the collection, use, and disclosure of their personal data as per the company's privacy guidelines.