Editorial summary

The company is seeking a Machine Learning (ML) Engineer to develop and enhance core ML components within production systems. The role involves building, fine-tuning, and evaluating models, as well as maintaining data pipelines for real-world applications. Candidates should have experience in deploying ML models at scale and possess strong systems judgment. The position offers a salary of 10,000.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job https://singapore.job-q.com/jobs/detail/machine-learning-ml-engineer-36503 first appeared in Job-Q.com on 07 Oct 2026]

As a Machine Learning Engineer, you will build core ML components. You will work on real production systems from day one, learning how large-scale ML behaves outside of research settings.

This role is for engineers who want to develop strong systems judgment by shipping, debugging, and iterating on real-world ML.

Job Duties:

• Build and improve ML components across data, training, evaluation, and inference.
• Fine-tune and adapt models as part of larger production systems.
• Implement evaluation and testing to understand model behavior.
• Help build and maintain data pipelines for real-world and synthetic data.
• Debug model issues, performance problems, and production incidents.
• Ship improvements iteratively and learn from real user feedback.
• Work closely with senior ML engineers and product teams.
• Work under real production constraints: latency, cost, reliability, and safety
• Ensure ML models in production meet expected accuracy, latency, and reliability targets.
• Production issues are identified quickly, debugged effectively, and root causes addressed.
• Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.
• Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.
• Iterations on models and systems are driven by real-world signals and measurable improvements.

Technical Experience/ Requirements:

• Python, PyTorch / JAX, Production ML systems running on GPUs
• Strong foundations in machine learning and modern neural architectures.
• Some hands-on experience training, fine-tuning, or deploying ML models.
• Comfortable writing production-quality code and learning new tools quickly.
• Curious, coachable, and eager to learn from real systems in production.
• Able to work through ambiguity with guidance and grow ownership over time.
• Bias toward shipping, iteration, and continuous improvement.

Interested candidates may apply directly to (Reg ID: R1103695) for immediate processing

EPS Consultants Pte Ltd |95C5630

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