Senior Machine Learning Engineering Manager, Ml

7 days ago

Singapore NodeFlair Full time

**Job Summary**:
**Salary**
S$10,344 - 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 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.

**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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