Senior ML Engineer - Supply Chain & Vision (Production)

Ocean Network Express; Singapore; Sur place; SGD 90 000 - 150 000; Plein temps

Résumé du poste

Ocean Network Express seeks an experienced Data Scientist to develop and productionize ML solutions across forecasting, computer vision, NLP, and supply chain analytics. You will own the full ML lifecycle from data prep to monitoring, deploying models on cloud infrastructure with CI/CD and containerization.

The role requires strong Python/SQL, PyTorch, and Docker skills, plus experience with regression, trees, and transformers. Knowledge of supply chain domain is a plus.

Qualifications

• Hands-on Data Science development with production model deployment.
• Minimum 3 years of hands-on Data Science development experience deploying models at production level.
• Proficiency in Python, SQL, PyTorch, Git and Docker.
• Experience with ML in supply chain or operations is a plus.

Responsabilités

• Develop ML solutions across forecasting, CV, document extraction, analytics, and optimization.
• Own ML lifecycle from data prep to training, evaluation, deployment and monitoring.
• Productionize ML with CI/CD, containers, orchestration, and cloud infrastructure.
• Translate supply chain and operational challenges into data science solutions with measurable impact.
• Evaluate approaches from regression to deep learning and transformers, using AutoML where suitable.
• Support ad hoc tasks as assigned.

Connaissances

Python

SQL

PyTorch

Transformers

Machine learning

Data visualization

Agile/Scrum

Formation

Degree in Computer Science, Software Engineering, Data Science or other STEM majors

Outils

Git

Docker

CI/CD

Vertex AI

BigQuery

Cloud Run/GKE

Description du poste

Ocean Network Express seeks an experienced Data Scientist to develop and productionize ML solutions across forecasting, computer vision, NLP, and supply chain analytics. You will own the full ML lifecycle from data prep to monitoring, deploying models on cloud infrastructure with CI/CD and containerization.

The role requires strong Python/SQL, PyTorch, and Docker skills, plus experience with regression, trees, and transformers. Knowledge of supply chain domain is a plus.