Lead Machine Learning Platform Engineer

3 weeks ago


Singapur, Singapore PLT Engineering Full time

Get to know the Team Our team develops production-grade robotics and autonomy capabilities for the urban environments of Southeast Asia. We are advancing perception, planning, and control step by step, with safety evidence as the gate for every milestone. We focus on building robust system capabilities, scaling with uncompromised quality, and collaborating with industry leaders while investing in in-house expertise where it differentiates us. We are a senior, hands-on engineering group that prizes operational excellence, clear interfaces, and reproducible pipelines. Get to know the Role As a Lead MLOps Engineer, you\'ll be a core member of our foundational infrastructure team. Your mission is to lead the development of critical pipelines and workflows that enable the entire team to train, validate, and deploy models. You\'ll have hands-on ownership of essential components of our MLOps and simulation platform, directly impacting the team\'s development velocity and the reliability of our systems. You\'ll be based at Grab One North Singapore office and report to a Head of Engineering, contributing directly to both technical and strategic leadership. The Critical Tasks You Will Perform Own and operate the data pipelines responsible for ingesting, processing, and curating robotics datasets. Lead the design and implementation of our core MLOps workflows, including CI/CD for model training, data versioning, and large-scale validation. Partner with modeling engineers to understand their requirements and build the tools and services that accelerate their research and development. You participate in code and design reviews to maintain our high development standards. You engage in service capacity and demand planning, performance analysis, tuning, and optimization. Collaborate with engineers and data scientist teams to translate business needs into data solutions, implementing and deploying these solutions at scale. Mentor other engineers through code reviews, design discussions, and knowledge sharing. #J-18808-Ljbffr



  • Singapur, Singapore GrabTaxi Holdings Pte. Ltd. Full time

    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...


  • Singapur, Singapore PLT Engineering Full time

    Get to know the Team The Fulfilment Tech family is one of the pillars that enable Grab to out-serve our consumers and partners in various businesses and marketplaces across Southeast Asia. We are developing high-throughput, real-time distributed systems that use sophisticated machine learning techniques to handle hundreds of millions of requests per day. Our...


  • Singapur, Singapore SGX Group Full time

    Overview Machine Learning Engineer role at SGX Group . SGX is looking for a Machine Learning Engineer who is passionate about building scalable data/machine learning platforms and pioneering solutions. As a Machine Learning Engineer, you will play a crucial role in transforming how we run and deploy AI/ML models. Your work will directly impact our ability to...


  • Singapur, Singapore SGX Full time

    Job Summary SGX is looking for a Machine Learning Engineer who is passionate about building scalable data/machine learning platforms and pioneering solutions. As a Machine Learning Engineer, you will play a crucial role in transforming how we run and deploy AI/ML models. Your work will directly impact our ability to build and deliver AI/ML use cases that...


  • Singapur, Singapore Grab Full time

    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...


  • Singapur, Singapore Thoughtworks Full time

    Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within...


  • Singapur, Singapore Thoughtworks Inc. Full time

    # Lead Machine Learning EngineerSingapore, Singapore## Job responsibilities* Lead the design and implementation of advanced model optimization pipelines, including quantization, pruning, and distillation.Architect and tune inference runtimes and serving frameworks to achieve optimal performance across deployments.* Guide teams in implementing high-throughput...


  • Singapur, Singapore GrabTaxi Holdings Pte. Ltd. Full time

    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...


  • Singapur, Singapore Tap Growth ai Full time

    Location: 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...


  • Singapur, Singapore UNITECH MECHATRONICS PTE. LTD. Full time

    In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's...