Machine Learning Engineer

Roles & Responsibilities

Design, prototype, and build ML models (e.g. recommendation, forecasting, NLP, computer vision)

Take models from proof-of-concept through to production deployment, including data pipelines, training workflows, and model serving infrastructure

Collaborate closely with HQ engineering and data science teams on model architecture, data standards, and shared infrastructure

Work with APAC product, business, and regional engineering teams to gather requirements and localize solutions

Monitor and maintain model performance in production, including retraining and iteration based on live feedback

Contribute to MLOps best practices, including CI/CD, model versioning, and experiment tracking

Communicate technical trade-offs clearly to both technical and business stakeholders across regions and time zones

Requirements

Bachelor's or Master's Degree in Computer Science, Machine Learning, Statistics, or a related field (or equivalent practical experience)

Around 3 years of experience building and deploying machine learning models in production environments

Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow

Solid understanding of the full ML lifecycle: data pipelines, feature engineering, training, evaluation, deployment, and monitoring

Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes)

Strong communication skills and ability to work effectively across cross-border, cross-functional teams

Interested candidates, who wish to apply for the advertised position, please click on "Apply Now". We regret that only shortlisted candidates will be notified.

EA License No.: 01C4394

By sending us your personal data and curriculum vitae(CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at acknowledge that you have read, understood, and agree with the Privacy Policy.