Machine Learning Engineer
Persol Singapore · Singapore
Roles & ResponsibilitiesDesign, 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 infrastructureCollaborate closely with HQ engineering and data science teams on model architecture, data standards, and shared infrastructureWork with APAC product, business, and regional engineering teams to gather requirements and localize solutionsMonitor and maintain model performance in production, including retraining and iteration based on live feedbackContribute to MLOps best practices, including CI/CD, model versioning, and experiment trackingCommunicate technical trade-offs clearly to both technical and business stakeholders across regions and time zonesRequirementsBachelor'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 environmentsStrong proficiency in Python and ML frameworks such as PyTorch or TensorFlowSolid understanding of the full ML lifecycle: data pipelines, feature engineering, training, evaluation, deployment, and monitoringExperience 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 teamsInterested 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.: 01C4394By 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 https://www.persolsingapore.com/policies.You acknowledge that you have read, understood, and agree with the Privacy Policy.