Senior Executive/Assistant Manager, Digital Solution Unit (Machine Learning) (Global HQ)

Roles and Responsibilities

• Develop machine learning (ML) solutions across forecasting, computer vision, document extraction, supply chain analytics, inventory optimization, and other operational use cases.
• Own the ML lifecycle from data preparation and feature engineering to model training, evaluation, deployment, and performance monitoring.
• Productionize ML solutions using CI/CD, containerization, orchestration, versioning, testing, and monitoring on cloud infrastructure.
• Translate supply chain and operational challenges into data science, ML, and optimization solutions with measurable impact.
• Evaluate approaches from statistical and tree-based models to deep learning, Transformers, Computer Vision, and multimodal models, using AutoML where appropriate.
• Support in ad hoc tasks as assigned

Requirements

• Degree in Computer Science, Software Engineering, Data Science or other STEM majors.
• Strong background in Mathematics, Statistics, Computer Science, Data Science, or related fields.
• Minimum 3 years of hands on Data Science development experience deploying models at the production level
• Advanced proficiency in Python, SQL, PyTorch, Git and Docker.
• Strong knowledge from regression and tree models (XGBoost) to Deep Learning and Transformers.
• Experience across structured data, forecasting, Computer Vision, document extraction/NLP, or optimization problems.
• Hands-on experience building and deploying end-to-end ML pipelines, including CI/CD, containerization, orchestration and monitoring. GCP preferred (Vertex AI, BigQuery, Cloud Run/GKE).
• Experience with AutoML and ML frameworks for rapid prototyping, benchmarking and productionization.
• Ability to translate supply chain, operational and business problems into practical data science and ML solutions.
• Ability to explain complex ML solutions and results to both technical and non-technical stakeholders.
• Strong problem-solving and ownership, Agile/Scrum experience (GitHub, Jira), and proficient in verbal and written communication.
• Logistics and Supply Chain Management knowledge will be an advantage

We regret that only shortlisted candidates will be notified. Thank you.