Software Engineer, ML Ops

MOTIONAL SINGAPORE PTE. LIMITED; Pasir Panjang; On-site; MYR 60,000 - 80,000; Full time

Job summary

A leading technology company in Malaysia is seeking passionate software engineers for its ML Infrastructure team. This role involves re-architecting a dynamic provisioning platform to enhance ML development lifecycle. Candidates should have a BS or MS in Computer Science, experience with Python or Go, and familiarity with AWS and Kubernetes. Join us to contribute to innovative solutions for autonomous driving applications.

Qualifications

• Strong knowledge of software engineering principles.
• Strong written and oral communication skills.
• Experience with various stages of the ML development lifecycle is a plus.

Responsibilities

• Collaborate closely with ML engineers and data scientists.
• Participate in the design and optimization of core ML infrastructure.
• Drive best practices in software engineering within the ML platform.

Skills

Software engineering principles

Python or Go

AWS services or other Cloud platforms

ML development lifecycle

ML frameworks such as PyTorch, Ray

Kubernetes

Education

BS or MS in Computer Science or related field

Job description

We are looking for passionate software engineers to join our ML Infrastructure team. Our team is at the forefront of building and maintaining scalable, high-performance infrastructure that empowers our machine learning engineers and data scientists to rapidly experiment with and innovate deep learning models for autonomous driving applications.

In this role, you'll initially focus on re-architecting and enhancing our dynamic provisioning platform for remote ML experiments, significantly improving the agility and efficiency of our ML development lifecycle. As we evolve, you'll contribute to broader ML infrastructure enhancements, ensuring our training ecosystem remains cutting-edge and robust.

What You’ll Be Doing:

• Collaborate closely with ML engineers and data scientists to understand their needs and develop robust tools and processes that streamline the entire ML development lifecycle.
• Participate in the design, development and optimization of our core ML infrastructure, leveraging Kubernetes to build robust solutions.
• Drive best practices in software engineering, including code quality, testing, and system reliability, within the ML platform.

What We’re Looking For:

• BS or MS in Computer Science or related field
• Strong knowledge of software engineering principles.
• Expertise with Python or Go
• Experience with AWS services or other Cloud platforms
• Strong written and oral communication skills
• Experience with the various stages of the ML development lifecycle is a plus
• Experience with ML frameworks such as PyTorch, Ray is a plus
• Experience with Kubernetes is a strong plus