Principal Machine Learning Engineer, AI Platform – AI Infrastructure
4 weeks ago
Get to Know the Team The AI Platform team empowers Grab teams to leverage advanced AI seamlessly and effectively. We're building cutting-edge tools and infrastructure to democratize AI capabilities, accelerate innovation, and enhance Grab's products and services at scale. Get to Know the Role As a Principal Machine Learning Engineer focused on AI Infrastructure , you will shape the backbone of Grab's AI ecosystem. You will design and evolve scalable platforms for model training, serving, and evaluation—anchored on technologies like Ray and Kubernetes —that enable thousands of engineers and data scientists to innovate safely and efficiently. Your role is pivotal in ensuring Grab's AI foundation is cost-efficient, resilient, and future-ready. You will report to the Head of Engineering. This role will be onsite at Grab office. The Critical Tasks You Will Perform Independently Lead and Execute Demonstrate strength as a technical lead by taking full responsibility for projects conception, planning and execution. Architect the Future of AI Infrastructure Design and scale the next generation of distributed systems for model training, inference, and experimentation on Kubernetes and Ray. Build Platforms for Scale= Develop core abstractions, APIs, and services that make AI experimentation, deployment, and monitoring seamless across Grab. Enable Cost-Efficient AI at Scale Drive initiatives to optimize GPU/CPU utilization, storage, and networking for large-scale AI workloads, driving significant efficiency gains. Integrate Research with Production Systems Translate cutting-edge distributed training, scheduling, and serving techniques into production-ready systems that can handle Grab's scale. Influence AI Platform Strategy Partner with engineering and product leadership to set direction for Grab's AI infrastructure roadmap, balancing long-term vision with practical execution. Mentor and Inspire Provide deep technical mentorship, foster platform-thinking, and cultivate a culture of excellence across engineering and research teams. #J-18808-Ljbffr
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Singapur, Singapore Grab Full timePrincipal Machine Learning Engineer, AI Platform – AI Infrastructure Grab is Southeast Asia's leading superapp that delivers everything from meals to finances and local mobility. We harness technology and AI to empower people economically while staying true to heart, hunger, honour, and humility. As a Principal Machine Learning Engineer focused on AI...
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Singapur, Singapore GRABTAXI HOLDINGS PTE. LTD. Full timeCompany 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...
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Machine Learning Engineer
2 weeks ago
Singapur, Singapore Tap Growth ai Full timeLocation: Singapore (WFO, 5 Days) Company: Confidential Payroll Company: IIT Matrix Duration: 1-year initial contract with high potential for long-term extensions Job Title: Machine Learning Engineer (NLP/Generative AI) We are looking for an innovative and production-focused engineer who thrives in a collaborative environment and is passionate about turning...
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AI Platform Engineer
2 weeks ago
Singapur, Singapore Dell Technologies Full timeAI Platform Engineer (Senior Principal Software Engineer) Join to apply for the AI Platform Engineer (Senior Principal Software Engineer) role at Dell Technologies. The Software Engineering team delivers next-generation software application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for...
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Principal AI Architect
3 weeks ago
Singapur, Singapore Epergne Solutions Full timeJoin to apply for the Principal AI Architect role at Epergne Solutions Continue with Google Continue with Google 2 months ago Be among the first 25 applicants Join to apply for the Principal AI Architect role at Epergne Solutions Get AI-powered advice on this job and more exclusive features. Sign in to access AI-powered advices Continue with Google Continue...
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Machine Learning/AI Engineer
4 weeks ago
Singapur, Singapore Crédit Agricole CIB Full timeCrédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 10th largest bank by total assets. Our Singapore center ("ISAP" or "Information Systems Asia Pacific") is the 2nd largest IT setup (after Paris Head Office) for Crédit Agricole CIB's worldwide business. We...
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Artificial Intelligence Jobs
7 hours ago
Singapur, Singapore Cyber Infrastructure (P) Limited Full timeAI Engineer About Company Cyber Infrastructure is #1 Technology solution provider, committed to delivering outstanding client experiences and optimal career growth for its team members. Established on November 7, 2003, Cyber Infrastructure (CIS) is a CMMI Level 5 accredited organization. We have emerged as the Largest Technology services Provider company in...
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Principal AI Architect
2 weeks ago
Singapur, Singapore Epergne Solutions Full timePrincipal AI Architect Location: Singapore | Experience: 10+ years | Full‑time. We are seeking an experienced AI Architect to lead the design and implementation of advanced AI solutions across Edge, On‑Prem, and Cloud environments. The ideal candidate is a strategic thinker, hands‑on technologist, and thought leader passionate about driving...
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Principal AI Architect
2 weeks ago
Singapur, Singapore Epergne Solutions Full timeJoin to apply for the Principal AI Architect role at Epergne Solutions . The Principal AI Architect is responsible for leading the design and implementation of advanced AI solutions and strategic architecture. This senior resource will work closely with technology leaders from our global client community as a trusted advisor for their AI-enabled...
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AI / Machine Learning Engineer
4 weeks ago
Singapur, Singapore TALENTSIS PTE. LTD. Full timeResponsibilities: Design, build, and deploy machine learning models to solve business challenges. Collaborate with teams to integrate models into production systems. Train, fine-tune, and optimize models for performance. Deploy models with APIs and ensure seamless integration. Monitor, refine, and improve model performance. Conduct data analysis and present...