Urgent! Lead Machine Learning Platform Engineer Job Opening In Singapore, Singapore – Now Hiring GrabTaxi Holdings Pte. Ltd.
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.
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, contributiing 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, 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.
What Essential Skills You Will Need
You have:
At least 5 years of extensive experience in Robotics, Autonomous systems, Machine Learning, Statistics, Applied Mathematics, Computer Science, Economics, Operations Research, or a related fields.
Experience with machine learning, deep learning, data mining, algorithmic foundations of optimization.
Knowledge of model compression, quantization, and techniques for optimizing inference latency and cost.
Familiarity with GPU/TPU acceleration and distributed inference architectures
Proficiency in Python as well as deep learning frameworks (TensorFlow, PyTorch) and deployment tools (ONNX, tf-serving, TorchServe, Triton Inference Server)
Hands-on experience building and managing CI/CD pipelines for machine learning (e.g., GitLab CI, Kubeflow, MLflow)
Experience with model versioning, CI/CD for ML, containerization (e.g., Docker), and cloud-based deployment (AWS, GCP, Azure)
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.
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Unlock Your Lead Machine Potential: Insight & Career Growth Guide
Real-time Lead Machine Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Lead Machine in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 6125 jobs in Singapore and 5582 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Lead Machine roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! GrabTaxi Holdings Pte. Ltd. is currently hiring and seeking a Lead Machine Learning Platform Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Lead Machine Learning Platform Engineer Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at GrabTaxi Holdings Pte. Ltd. adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Lead Machine Learning Platform Engineer Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Lead Machine Learning Platform Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Lead Machine Learning Platform Engineer interview at GrabTaxi Holdings Pte. Ltd., research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the GrabTaxi Holdings Pte. Ltd.'s products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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