Principal ML Engineer: Build Production AI Systems

Nicoll Curtin; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Nicoll Curtin is partnering with a tech company to hire a Principal Machine Learning Engineer to build and improve the core ML systems behind its consumer applications, spanning LLMs, agents, long-running workflows, persistent context and memory, tool use, inference and evaluation.

This is a hands-on individual contributor role with technical leadership responsibility, working closely with Research and Application Engineering to take complex ML problems from experimentation into production.

Qualifications

• Excellent Python skills and ML fundamentals.
• Experience with PyTorch or JAX in production ML.
• Own production ML systems from deployment to operation.
• Ability to solve complex, ambiguous ML problems and ship measurable improvements.
• Strong understanding of model evaluation and production trade-offs.
• Robust software engineering practices and cross-team collaboration.

Responsibilities

• Experimentation and evaluation through deployment and ongoing improvement.
• Build reliable model and agent capabilities for real products.
• Develop evaluations to measure quality and identify failures.
• Improve production performance in latency, reliability, safety and cost.
• Apply training, fine tuning or inference improvements where needed.
• Set technical direction, mentor engineers and stay close to implementation.

Skills

Python

ML fundamentals

PyTorch

JAX

production ML

problem solving

model evaluation

software engineering

Tools

PyTorch

JAX

Job description

Nicoll Curtin is partnering with a tech company to hire a Principal Machine Learning Engineer to build and improve the core ML systems behind its consumer applications, spanning LLMs, agents, long-running workflows, persistent context and memory, tool use, inference and evaluation.

This is a hands-on individual contributor role with technical leadership responsibility, working closely with Research and Application Engineering to take complex ML problems from experimentation into production.