Senior ML Platform Engineer — Scale AI Pipelines

Grab; Petaling Jaya; On-site; MYR 150,000 - 200,000; Full time

Job summary

A leading superapp company is seeking a Senior Machine Learning Engineer to design and implement state-of-the-art ML and AI platforms. Located in Petaling Jaya, you will develop complex ML pipelines and applications while collaborating with a skilled team. The ideal candidate should have a Bachelor's/Master's degree in computer science or related fields and 3+ years of industry experience in machine learning. This role offers opportunities to work with cutting-edge technologies, making a significant impact on the region's advancement and flexibility through hybrid work options.

Benefits

Term Life Insurance

Medical Insurance

FlexWork arrangements

Parental leave

Birthday leave

Grabber Assistance Programme

Qualifications

• 3+ years of machine learning experience in industry.
• Extensive knowledge of ML frameworks.
• Experience developing machine learning models for various applications.

Responsibilities

• Design, implement, and roll out ML&AI platforms.
• Write production-grade code at scale.
• Develop platform applications from infrastructure to frontend.

Skills

Proficient in at least one programming language such as Golang, Python, Scala, or Java

Strong understanding of machine learning approaches and algorithms

Collaboration, mentorship and communication skills

Education

Bachelor's/Master's degree in computer science, machine learning or related fields

Tools

TensorFlow

PyTorch

Docker

Kubernetes

AWS

Job description

A leading superapp company is seeking a Senior Machine Learning Engineer to design and implement state-of-the-art ML and AI platforms. Located in Petaling Jaya, you will develop complex ML pipelines and applications while collaborating with a skilled team. The ideal candidate should have a Bachelor's/Master's degree in computer science or related fields and 3+ years of industry experience in machine learning. This role offers opportunities to work with cutting-edge technologies, making a significant impact on the region's advancement and flexibility through hybrid work options.