Retail AI Engineer: ML Ops, Forecasting & Inventory

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

DADACONSULTANTS PTE. LTD. is partnering with a Singapore-headquartered retail AI company to turn forecasting, optimization and computer vision models into reliable, production-grade software that can run on cloud platforms or at client sites.

This engineering-focused role reports to the Tech Lead. You will build modular, production-grade components, deploy across AWS/GCP/Azure or on-prem, and collaborate closely with data scientists and client-facing teams to deliver solutions for large

Qualifications

• Bachelor's or Master's degree in CS/AI/Engineering/OR.
• 1+ years of experience in ML engineering, data engineering or software engineering with production exposure.
• Proficient in Python and SQL with experience on at least one cloud platform (AWS, GCP or Azure).
• Hands-on experience with Docker and CI/CD pipelines.
• Experience building APIs or services and writing tests.

Responsibilities

• Build modular, production-ready code deployable on AWS, GCP, Azure or on-premises.
• Translate retail and supply chain requirements into reusable software components.
• Integrate ML models (e.g., forecasting, inventory optimisation) into robust services, APIs and data pipelines.
• Apply MLOps and DevOps practices including CI/CD, testing, monitoring and code review.
• Collaborate with data scientists, engineers and client-facing teams to deliver solutions for multiple retail clients.

Skills

ML engineering

Data engineering

Software engineering

Production systems exposure

Education

Bachelor's or Master's degree in Computer Science/AI/Engineering/OR

Tools

Python

SQL

Docker

CI/CD pipelines

APIs

Testing

Job description

DADACONSULTANTS PTE. LTD. is partnering with a Singapore-headquartered retail AI company to turn forecasting, optimization and computer vision models into reliable, production-grade software that can run on cloud platforms or at client sites.

This engineering-focused role reports to the Tech Lead. You will build modular, production-grade components, deploy across AWS/GCP/Azure or on-prem, and collaborate closely with data scientists and client-facing teams to deliver solutions for large