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Machine Learning Platform Engineer

bjakcareerSingaporeActAI Engineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Mid
Posted
28 Sept 2026
Status
Open · checked 7d ago

About this role

The Machine Learning Platform Engineer role at bjakcareer is located in Singapore and suits professionals focused on designing and operating core artificial intelligence infrastructure. This position involves building scalable systems that power proactive applications and support reliable production workloads.

Role Overview

This position requires constructing the technical framework that drives machine learning capabilities. Selected candidates collaborate directly with product teams, researchers, and artificial intelligence engineers to transform models into robust production systems.

Key Responsibilities

Build and operate machine learning infrastructure and platforms for products
Design systems supporting model training, evaluation, deployment, inference, and experimentation
Optimize model serving and inference infrastructure for low-latency and high-throughput workloads
Enhance reliability, scalability, latency, and cost efficiency across artificial intelligence systems
Develop dependable pipelines for data preparation, training, evaluation, release, and continuous improvement
Create platforms and tooling enabling rapid experimentation and model deployment
Establish evaluation and benchmarking infrastructure to measure performance and quality
Implement production observability, tracing, monitoring, and alerting for workloads
Identify and resolve bottlenecks throughout the machine learning stack
Partner with cross-functional engineering groups to adapt evolving model requirements into production-ready infrastructure

Requirements

Strong background in software engineering fundamentals with production systems experience
Background in constructing machine learning platforms, infrastructure, or production systems
Familiarity with data pipelines, model deployment, inference, or evaluation
Solid comprehension of system reliability and distributed systems
Capacity to produce clean, maintainable, and production-ready code
Adaptability for fast-moving and ambiguous environments
Strong orientation toward ownership, experimentation, and ongoing enhancement

Skills and Tools

Python
PyTorch
JAX
vLLM
SGLang
TensorRT-LLM
Cloud infrastructure
Distributed systems
Workflow orchestration and ML data pipelines
GPU infrastructure and performance tooling
Vector databases and retrieval infrastructure

About the Company

bjakcareer hires for ActAI, an organization developing proactive applications designed to bring intelligence to everyday tasks, workflows, and conversations with minimal prompting. The company focuses on persistent context, real-world task completion, and high reliability for long-running workflows to minimize hallucinations.

How to Apply

Interested candidates should visit the official bjakcareer company careers page to submit an application for this position.

Skills and tech stack

PythonPyTorchJAXvLLMSGLangTensorRT-LLMCloud infrastructureDistributed systemsWorkflow orchestrationGPU infrastructureVector databasesLLMMachine LearningDistributed Systems

Questions candidates ask

Where is the job located?

The position is located in Singapore.

What tools and frameworks are used in the tech stack?

The tech stack includes Python, PyTorch, JAX, vLLM, SGLang, TensorRT-LLM, cloud infrastructure, distributed systems, workflow orchestration, GPU infrastructure, and vector databases.

Who will the engineer collaborate with?

The engineer works closely with AI engineers, researchers, and product teams.

What is the mission of the company?

The mission is to build proactive applications that bring intelligence to conversations, errands, organizing, and workflows with minimal to no prompting.

What is the focus of the engineering work?

The work focuses on building infrastructure for model training, evaluation, deployment, inference, observability, and continuous improvement while optimizing for latency, throughput, reliability, and cost efficiency.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site