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Job Responsibilities
Job Summary: Drive data-driven decisions across commercial, operational, and financial domains by discovering insights, validating hypotheses, and building scalable AI/ML solutions. You will lead experiments, develop advanced models, and communicate results effectively to stakeholders. To succeed, you must be a problem solver, a strong communicator, and an analytical thinker who challenges boundaries.
Job Summary: Drive data-driven decisions across commercial, operational, and financial domains by discovering insights, validating hypotheses, and building scalable AI/ML solutions. You will lead experiments, develop advanced models, and communicate results effectively to stakeholders. To succeed, you must be a problem solver, a strong communicator, and an analytical thinker who challenges boundaries.
- Collaborate with business teams to frame problems, perform root-cause analysis, and recommend scalable AI/ML solutions or design experiments/AB tests.
- Translate complex findings into clear narratives, compelling visuals, and executive-ready summaries for both technical and non-technical audiences.
- Build and validate AI/ML solutions in one or more specialized areas, such as forecasting, route optimization, computer vision, anomaly detection, and NLP (including emerging agentic AI approaches).
- Develop and deploy ML services and APIs on Azure/Databricks, implementing CI/CD, model versioning, and lineage tracking with MLflow, including performance and data drift monitoring.
- Partner with application development teams to operationalize and integrate AI/ML solutions into production systems.
- Bachelor’s Degree in Statistics, Applied Math, Economics, Data Science, or related field.
- 3–5+ years of relevant experience; exposure to Agentic AI is a plus.
- Hands on experience with Databricks, Spark, MLflow, Python (Pytorch, Tensorflow); proven ability to build production-grade ML APIs/services.
- Demonstrated success in deploying ML/AI use cases at scale.
- Experience working in cloud environment such as AWS, Azure, or GCP.
- Strong interpersonal skills for collaborating with technical and non-technical teams.
- Excellent stakeholder engagement and storytelling.
Key Skills
Ranked by relevance
mlflow
ai
computer vision
tensorflow
pytorch
python
cloud
spark
cicd
aws
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- Posted
- Jul 02, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Singapore
Industries
Transportation
Logistics
Supply Chain
Storage
Categories
Information Technology
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3 roles aligned with this opportunity
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2026-07-04
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Data Analyst, AI e-Commerce (m/f/n)
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