Senior Machine Learning Engineering Manager, Ml

2 weeks ago


Singapore NodeFlair Full time

Job Summary:

Salary
S$10,34- S$15,453 / Monthly EST

Job Type
Permanent

Seniority
Manager

Years of Experience
At least 6 years

Tech Stacks
Strategy AWS R Azure Java Python

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

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The Day-to
Day Activities Lead and Inspire: Build and mentor a highperforming 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 companywide. Drive Technical Excellence: Foster a culture of quality through code reviews, design discussions, and bestpractice 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: Indepth 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.

Additional Information

Our Commitment

We recognize that with these individual attributes come different workplace challenges, and we will work with Grabbers to address them in our journey towards creating inclusion at Grab for all Grabbers.



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