Lead Machine Learning Platform Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 youll 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. Youll have hands-on ownership of essential components of our MLOps and simulation platform directly impacting the teams development velocity and the reliability of our systems.
Youll 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.
Qualifications :
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)
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 lifes challenges.
- Balancing personal commitments and lifes 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.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
About Grab and Our WorkplaceGrab 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, w ... View more
