ML Engineer - Supply Chain AI

**About The Company** Our client is an AI startup building intelligent supply chain solutions across Southeast Asia — from demand forecasting to inventory optimisation. They're a lean, engineering\-first team that moves fast and gives engineers real ownership over the products they build. **The Role** They're looking for an ML Engineer to bridge the gap between data science and production — taking models built by their data science team and operationalising them into reliable, scalable systems. This is a hands\-on role sitting at the intersection of ML engineering and platform infrastructure. This is a greenfield opportunity — you'll be shaping how they build and operate ML systems from the ground up, with direct impact on a product used by major retailers across SEA. **What You'll Do** * Own the deployment and operationalisation of ML models into production — building the infrastructure that takes models from development to live business systems * Build and maintain ML platform tooling — experiment tracking, model versioning, model registry, and automated deployment pipelines using tools like MLflow and Airflow * Implement model monitoring and drift detection to ensure production models stay accurate over time * Build automated retraining pipelines so models stay relevant as data patterns change * Work closely with data scientists to build self\-serve tooling that enables them to deploy and iterate on models independently * Deploy and manage ML workloads on cloud platforms (AWS, GCP, or Azure) using Docker, Kubernetes, and CI/CD pipelines **What We're Looking For** * 2–5 years of hands\-on experience in ML engineering or a closely related role * Practical experience deploying ML models into production — not just building or training them * Hands\-on experience with ML lifecycle tools — MLflow, Airflow, Kubeflow, SageMaker, Vertex AI, or similar * Understanding of model monitoring and drift detection in production environments * Comfortable with Docker, Kubernetes, and CI/CD pipelines * Cloud experience on AWS, GCP, or Azure * Strong Python skills with solid software engineering fundamentals **Bonus points for:** * Experience with supply chain AI — demand forecasting, inventory optimisation, or similar * Familiarity with traditional ML models (time\-series forecasting, gradient boosted trees, optimisation) rather than purely GenAI/LLM work * Experience with constraint programming tools like Google OR\-Tools * Infrastructure as code experience (Terraform, Helm)