Remote 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 design, build, and operate the infrastructure powering AI capabilities.

You will work closely with AI engineers, researchers, and product engineers to turn models into reliable, scalable, and cost-efficient production systems. You will design and operate systems behind the AI stack, from training and evaluation to deployment, inference, observability, and continuous improvement.

Qualifications

• Strong software engineering fundamentals with production systems experience.
• 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, maintainable, 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

Job description

CYGNIFY PTE. LTD. is seeking an ML Platform Engineer to design, build, and operate the infrastructure powering AI capabilities.

You will work closely with AI engineers, researchers, and product engineers to turn models into reliable, scalable, and cost-efficient production systems. You will design and operate systems behind the AI stack, from training and evaluation to deployment, inference, observability, and continuous improvement.