Machine Learning Engineer

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Description

Roles & 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. : 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 [link] acknowledge that you have read, understood, and agree with the Privacy Policy.

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