Remote ML Platform Engineer — Scalable AI Infra

JOINTHIRE SINGAPORE PTE. LTD.; Petaling Jaya; Remote; MYR 120,000 - 180,000; Full time

Job summary

JOINTHIRE SINGAPORE PTE. LTD. seeks an experienced ML infrastructure engineer to build and operate the ML infrastructure powering its AI products. You design systems for training, evaluation, deployment, inference, and experimentation, and drive reliable pipelines for data preparation, training, and model release.

You will enhance model serving, observability, and performance while collaborating with AI researchers and product teams across a remote-friendly, fast-moving environment.

Qualifications

• Strong software engineering fundamentals.
• Experience building ML infrastructure or production ML systems.
• Experience with model deployment, inference, evaluation, or data pipelines.
• Strong understanding of distributed systems and reliability.
• Ability to write clean, production-quality code.
• Comfortable in ambiguous, fast-moving environments.
• Bias toward ownership, experimentation and continuous improvement.
• Tech stack includes Python, PyTorch/JAX, LLM serving infra, cloud infra.
• Experience with distributed systems, ML/data pipelines and workflow orchestration is a plus.

Responsibilities

• Build and operate ML infrastructure and platforms powering AI products.
• Design systems for training, evaluation, deployment, inference, and experimentation.
• Build and optimize model serving and inference infrastructure for high throughput and low latency.
• Improve reliability, scalability, latency, and cost efficiency of AI systems.
• Develop pipelines for data preparation, training, evaluation, model release, and continuous improvement.
• Build tooling enabling AI engineers to experiment, evaluate, and ship models faster.
• Develop evaluation infrastructure to measure model quality, performance, and regressions.
• Build production observability, monitoring, tracing, and alerting for ML workloads.
• Identify bottlenecks across the ML stack and improve system performance.
• Collaborate with AI engineers, researchers, and product teams to productionize evolving model requirements.

Skills

Software engineering

ML infrastructure

Model deployment

Distributed systems

Production code

Ambiguous environments

Ownership mindset

Python / PyTorch

GPU tooling

Vector databases

Tools

Python

PyTorch

JAX

vLLM

TensorRT-LLM

Cloud infrastructure

SGLang

Job description

JOINTHIRE SINGAPORE PTE. LTD. seeks an experienced ML infrastructure engineer to build and operate the ML infrastructure powering its AI products. You design systems for training, evaluation, deployment, inference, and experimentation, and drive reliable pipelines for data preparation, training, and model release.

You will enhance model serving, observability, and performance while collaborating with AI researchers and product teams across a remote-friendly, fast-moving environment.