Machine Learning Engineer
Grab
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 Grab ML Platform team empowers teams across the company to harness the power of machine learning. We're building cutting-edge tools and infrastructure to drive innovation and automation throughout Grab.
Get to Know the Role
As a machine learning engineer in the ML Platform team at Grab, you will contribute to the creation and maintenance of our machine learning infrastructure. You will help drive the set-up of robust and scalable solutions for model training, deployment, and monitoring.
You will report to the Senior Machine Learning Engineering and work onsite at our office based in Petaling Jaya
The Critical Tasks You Will Perform
- You will work with the Machine Leaning Platform team to design and develop the infrastructure to support distributed data processing and model training.
- You will utilize GitOps to ensure the reproducibility of the system's cloud infrastructure on different Kubernetes clusters.
- You will be responsible for developing and integrating monitoring and alerting within Grab's monitoring stack powered by Datadog, Prometheus, and Grafana.
- You will also contribute to the creation of runbooks and DevOps guides.
- You will work with our product team to socialize and support the use of MLOps tools and processes.
- You will be responsible for supporting users in deploying, monitoring, and managing their machine learning models.
Qualifications
What Essential Skills You Will Need
- Degrees in Computer Science, Software Engineering, or a related field
- 1+ years of experience as a Fullstack developer with backend exposure to ML or a strong interest in this area
- Prior experience in MLOps or related fields is a plus.
- Basic understanding of ML-OPS with a solid understanding of distributed computing for data processing.
- Good knowledge of Python and ML ecosystems.
- Strong understanding of developing and deploying systems on Kubernetes. Previous experience with GitOps solutions like ArgoCD is preferred. Good knowledge of Helm and Kustomize is also valued.
- Good DevOps background, with Infrastructure as Code (IaC) such as code with Terraform preferred
- Strong written and verbal communication skills
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.
