Senior Machine Learning Engineer

Job title: Senior Machine Learning Engineer

Company:


Job description: Company Description About Grab and Our Workplace Grab is Southeast Asia’s leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we’ve got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Job Description Get to Know the Team The Applied AI 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 Gen AI Platform. This is a high-impact role where you’ll shape the way machine learning drives value across our organization. The Critical Tasks You Will Perform 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 Gen AI Platform, aligning it with our core business objectives for maximum impact. Build for Efficiency: Design and implement tools that streamline the entire Gen AI workflow, enabling rapid development and deployment of impactful Gen AI 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 What Essential Skills You Will Need Proven Experience: 4+ years of relevant experience in machine learning engineering or similar roles. Technical Mastery: Deep expertise in building and deploying AI 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 Gen AI Platform consistently creates value. Exceptional Leader: Possess communication and mentorship skills that inspire teams and attract top talent. Additional Information Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and comprehensive Medical Insurance. With GrabFlex, create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life’s challenges. Balancing personal commitments and life’s demands are made easier with our FlexWork arrangements such as differentiated hours What We Stand For At Grab We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

Expected salary:

Location: Petaling Jaya, Selangor

Job date: Mon, 03 Feb 2025 23:29:19 GMT

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