• Innovative Technology and Industry Leadership
• Opportunities to work on outstanding technologies on logistics solutions

About Our Client

A global enterprise client with deep roots in Singapore, known for its expansive international presence, diversified operations, and strong focus on logistics, infrastructure, and innovation

Job Description

• Work closely with business teams to define challenges, conduct root-cause analysis, and propose scalable AI/ML solutions or design A/B testing experiments.
• Present complex insights through clear storytelling, impactful visuals, and concise executive-level summaries tailored for both technical and non-technical stakeholders.
• Design, build, and validate advanced AI/ML models across domains such as forecasting, optimization, computer vision, anomaly detection, and NLP, including emerging agentic AI techniques.
• Deploy ML services and APIs on platforms like Azure and Databricks, ensuring CI/CD pipelines, model versioning, lineage tracking with MLflow, and monitoring for performance and data drift.
• Collaborate with application development teams to integrate and operationalize AI/ML solutions within production environments.

The Successful Applicant

• Bachelor's or Master's degree in Statistics, Applied Mathematics, Economics, Data Science, or a related discipline.
• At least 3 years of relevant professional experience, with familiarity in Agentic AI considered an advantage.
• Practical expertise with Databricks, Spark, MLflow, and Python frameworks (PyTorch, TensorFlow), with a proven track record of building production-ready ML APIs and services.
• Demonstrated ability to successfully deploy ML/AI solutions at scale.
• Experience working within cloud platforms such as AWS, Azure, or GCP.
• Strong collaboration skills for engaging effectively with both technical and non-technical teams.
• Exceptional stakeholder management and storytelling capabilities.

What's on Offer

Opportunities to work on outstanding technologies on logistics solutions

Innovative Technology and Industry Leadership

Contact

Jayden Yap (Lic No: R22110369/ EA no: 18C9065)

Quote job ref

JN-012026-6913792

Phone number

+65 6416 9897