Machine Learning (ML) Engineer

Businesslist; Johor; On-site; MYR 90,000 - 140,000; Full time

Job summary

Businesslist is seeking a Machine Learning Engineer in Johor to build and improve ML components across data, training, evaluation, and inference within our production systems.

You will collaborate with senior ML engineers, product teams, and research to deliver reliable ML-powered features under real production constraints. A strong foundation in ML and hands-on experience with training, fine-tuning, or deploying models are essential.

Qualifications

• Proficient in Python with experience in PyTorch or JAX for ML models.
• Experience deploying ML models in production with GPUs.
• Strong grounding in machine learning fundamentals and neural architectures.
• Ability to write production-quality code and quickly pick up new tools.
• Curious, coachable, and willing to own issues in real systems.
• Bias toward shipping, iteration, and continuous improvement.

Responsibilities

• Build and improve ML components across data, training, evaluation, and inference.
• Fine-tune and adapt models within 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.
• Collaborate with senior ML engineers and product teams.
• Ensure latency, cost, reliability, and safety constraints are met.
• Produce robust, reproducible ML pipelines and systems.

Skills

Python

PyTorch

JAX

Production ML systems

Job description

Overview

Machine Learning Engineer responsible for building and improving ML components across data, training, evaluation, and inference within production systems. Collaborates with senior ML engineers, product teams, and research to deliver reliable ML-powered features under real production constraints.

Responsibilities

• 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.

Additional Information

• Sub Specialization: Information Technology; Others
• Type of Employment: Permanent
• Minimum Experience: 2 Years
• Work Location: Johor