ML Platform Engineer: Scalable AI Infra & Pipelines

CYGNIFY PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

CYGNIFY PTE. LTD. is seeking an ML Platform Engineer to build the infrastructure powering AI capabilities. You will design and operate systems from model training to deployment, ensuring observable, scalable, and cost-efficient production.

You will collaborate with AI researchers and product engineers to turn evolving model requirements into reliable infrastructure, enabling rapid experimentation and deployment of AI features.

Qualifications

• Strong software engineering fundamentals and experience building production systems.
• Experience building ML infrastructure, platforms, or production machine learning systems.
• Experience with model deployment, inference, evaluation, or data pipelines.
• Strong understanding of distributed systems and system reliability.
• Ability to write clean, production-quality code.
• Comfortable working in ambiguous, fast-moving environments.
• Bias toward ownership, experimentation, and continuous improvements.

Responsibilities

• Build and operate the ML infrastructure and platforms powering company's AI products.
• Design systems for model training, evaluation, deployment, inference, and experimentation.
• Build and optimize model serving and inference infrastructure for high-throughput and low-latency workloads.
• Improve reliability, scalability, latency, and cost efficiency of AI systems.
• Develop reliable pipelines for data preparation, training, evaluation, model release, and continuous improvement.
• Build platforms and tooling that enable AI engineers and researchers to experiment, evaluate, and ship models faster.
• Develop evaluation and benchmarking infrastructure to measure model quality, performance, and regressions.
• Build production observability, monitoring, tracing, and alerting for AI/ML workloads.
• Improve AI systems across reliability, scalability, latency, throughput, and cost.
• Identify bottlenecks across the ML stack and continuously improve system performance.
• Work closely with AI engineers, researchers, and product teams to turn evolving model requirements into production-ready infrastructure.

Skills

Software engineering fundamentals

ML infrastructure

Distributed systems

Production-quality code

Data pipelines

Tools

Python

PyTorch / JAX

vLLM / SGLang / TensorRT-LLM

Cloud infrastructure

GPU tooling

Job description

CYGNIFY PTE. LTD. is seeking an ML Platform Engineer to build the infrastructure powering AI capabilities. You will design and operate systems from model training to deployment, ensuring observable, scalable, and cost-efficient production.

You will collaborate with AI researchers and product engineers to turn evolving model requirements into reliable infrastructure, enabling rapid experimentation and deployment of AI features.