Machine Learning Engineer

Grab; Selangor; On-site; MYR 40,000 - 60,000; Full time

Job summary

A leading tech company in Selangor is seeking a Machine Learning Engineer to develop ML infrastructure and support distributed data processing. The ideal candidate will have a degree in Computer Science and at least 1 year of experience in Fullstack development with a strong interest in ML. Responsibilities include designing solutions for model training and deployment, and ensuring system reproducibility using GitOps practices. Competitive benefits and a supportive work environment are offered.

Benefits

Term Life Insurance

Comprehensive Medical Insurance

Parental leave

Birthday leave

FlexWork arrangements

Grabber Assistance Programme

Qualifications

• 1+ years as a Fullstack developer with an interest in ML.
• Basic understanding of ML-OPS and distributed computing.
• Good DevOps background with Infrastructure as Code.

Responsibilities

• Design and develop infrastructure for model training.
• Utilize GitOps for cloud infrastructure reproducibility.
• Develop monitoring and alerting within Grab's stack.

Skills

Python

ML ecosystems

Kubernetes

GitOps

Terraform

Communication skills

Education

Degree in Computer Science, Software Engineering, or a related field

Tools

Datadog

Prometheus

Grafana

Job description

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

Critical Tasks

• 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

• 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 Insuranceand 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.