Senior AI Engineer: Production ML for Supply Chain

dadaconsultants pte. ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

dadaconsultants pte. ltd. is seeking a Senior AI Engineer to build scalable, production-ready AI solutions for supply chain and retail contexts. You will shape system architecture, mentor the team and contribute to DevOps/MLOps practices.

The role emphasizes deployment across cloud platforms and on-prem environments, with a focus on reliable, scalable software and strong API/microservices design.

Qualifications

• Bachelor's or Master's degree in CS, AI, OR or a related field.
• 4+ years of experience in AI/ML engineering or software engineering for production systems.
• Proficiency in Python and experience with SQL databases (MySQL, PostgreSQL) and NoSQL (MongoDB).
• Infrastructure as code on at least one major cloud platform.
• Experience deploying apps in cloud/on-prem environments using Docker/Kubernetes and CI/CD.
• Strong knowledge of microservices, API development and system design.
• Familiar with PyTest and unit/integration testing.

Responsibilities

• Design and develop modular, production-ready software across cloud and on-prem environments.
• Re-architect systems to translate business/retail needs into scalable components.
• Build AI-driven systems integrating ML models into business apps.
• Design and implement microservices and APIs for scalability and maintainability.
• Establish engineering practices, including CI/CD, DevOps and MLOps workflows.
• Conduct code reviews and provide technical guidance to the team.
• Ensure security, performance, reliability, and maintainability of software.

Skills

Python

SQL databases

NoSQL databases

Cloud deployment

Docker

Kubernetes

CI/CD pipelines

Microservices

API development

PyTest

Education

Bachelor's or Master's in CS/AI/OR

Tools

Docker

Kubernetes

MySQL

PostgreSQL

MongoDB

CI/CD tooling

Terraform

Job description

dadaconsultants pte. ltd. is seeking a Senior AI Engineer to build scalable, production-ready AI solutions for supply chain and retail contexts. You will shape system architecture, mentor the team and contribute to DevOps/MLOps practices.

The role emphasizes deployment across cloud platforms and on-prem environments, with a focus on reliable, scalable software and strong API/microservices design.