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Jobs in Singapore   »   Jobs in Singapore   »   Engineering Job   »   Senior Engineering Manager
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Senior Engineering Manager

Grabtaxi Holdings Pte. Ltd.

Grabtaxi Holdings Pte. Ltd. company logo

Get to Know the Team:

The ML Platform team at Grab empowers teams across the company to harness the power of machine learning. We're building cutting-edge tools and infrastructure that democratize AI, driving innovation throughout Grab's services.

Get to Know the Role:

As our Senior Machine Learning Engineering Manager, you'll lead the evolution of Grab's ML Platform. This is a high-impact role where you'll shape the way machine learning drives value across our organization.

The Day-to-Day Activities:

  • Lead and Inspire: Build and mentor a high-performing team of platform and machine learning engineers, creating a collaborative and innovative environment.
  • Architect the Future: Define the strategic vision for Grab's ML Platform, aligning it with our core business objectives for maximum impact.
  • Build for Efficiency: Design and implement tools that streamline the entire ML workflow, enabling rapid development and deployment of impactful ML solutions.
  • Champion Scalability: Collaborate with stakeholders to ensure our ML Platform scales seamlessly, empowering data scientists and engineers company-wide.
  • Drive Technical Excellence: Foster a culture of quality through code reviews, design discussions, and best-practice implementation.
  • Attract and Develop: Actively contribute to our talent acquisition strategy and shape initiatives that support the growth of our team.

Qualifications


The Must-Haves:

  • Proven Experience: 6+ years of relevant experience in machine learning engineering or similar roles, including at least 2 years of demonstrated success in a management position.
  • Technical Mastery: Deep expertise in building and deploying ML platforms, including a strong command of programming languages (Python, R, or Java), cloud platforms (AWS, Azure), and containerization (Kubernetes).
  • MLOps: In-depth knowledge of MLOps principles, enabling the productionalization of ML models (training, validation, deployment, monitoring).
  • Strategic Visionary: Ability to translate business needs into a technical roadmap, ensuring our ML Platform consistently creates value.
  • Exceptional Leader: Possess communication and mentorship skills that inspire teams and attract top talent.

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