AI Engineer ( Supply chain AI solution )

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A consulting firm in Singapore is seeking a Senior AI Engineer to design and build scalable AI solutions for supply chain challenges. The ideal candidate will have a degree in Computer Science or a related field and at least 4 years of experience in production AI systems. Responsibilities include coding, integrating AI-driven modules, and promoting best practices in a collaborative environment. Competitive compensation and ownership of a core product from day one are offered.

Benefits

Ownership of core AI product

Collaborative innovation-first culture

Competitive compensation

Qualifications

• 4+ years building and shipping production AI/ML or software systems.
• Experience provisioning infrastructure as code on at least one major cloud provider.
• Background designing microservices, APIs, and system architectures.
• Experience deploying AI models to production using orchestration tools.
• Experience deploying AI models to production is a plus.

Responsibilities

• Design and build modular, portable, production-ready code.
• Re-engineer existing platform for scalability.
• Integrate research models into business solutions.
• Promote engineering excellence through code reviews.
• Ensure all deliverables meet security and performance requirements.

Skills

Python

Docker

Kubernetes

SQL (MySQL, PostgreSQL)

NoSQL (e.g., MongoDB)

Testing frameworks (e.g., PyTest)

APIs

SQL

NoSQL

Testing frameworks

Education

Bachelor’s or Master’s in Computer Science, AI, Operations Research, or related field

Tools

CI/CD pipelines

Airflow

Prefect

Ray

Tableau

Holistics

Job description

Overview

We are looking for a Senior AI Engineer with solid experience in supply chain AI solutions and a strong understanding of software development/deployment. This role is crucial to building scalable AI solutions to solve core supply chain problems.

Responsibilities

• Design and build modular, portable, production‑ready code that runs on any cloud (AWS, GCP, Azure) or on‑premise.
• Re‑engineer our existing platform to turn complex business and retail needs into reusable, scalable components.
• Create AI‑driven modules that integrate research models into reliable, scalable business solutions.
• Drive feature cycles, enforce architecture patterns, coding standards, and DevOps/MLOps best practices across the team.
• Conduct code reviews, promote engineering excellence, and ensure all deliverables meet security, performance, and maintainability requirements.

Requirements

• Bachelor’s or Master’s in Computer Science, AI, Operations Research, or a related field.
• 4+ years building and shipping production AI/ML or software systems.
• Experience provisioning infrastructure as code on at least one major cloud provider.
• Comfort deploying software in cloud and on‑prem environments using Docker, Kubernetes, and CI/CD pipelines.
• Background designing microservices, APIs, and system architectures.
• Strong Python skills and familiarity with:
  • SQL (MySQL, PostgreSQL) & NoSQL (e.g., MongoDB) databases
  • Testing frameworks such as PyTest for unit/integration testing
• Experience deploying AI models to production, using orchestration tools (Airflow, Prefect, Ray, etc.) and reporting tools (Tableau, Holistics) is a plus.
• Prior work on inventory optimization, demand forecasting, or supply‑chain AI solutions is a plus.

What We Offer

• Ownership of a core AI product from day one, shaping its direction.
• A collaborative, innovation‑first culture that values speed, integrity, and technical depth.
• Competitive compensation.