AI Engineer

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A technology consulting firm in Singapore seeks an experienced AI Developer to design and build modular AI solutions. The role focuses on developing production-ready code, re-engineering existing platforms, and driving feature cycles. The ideal candidate has over 4 years of experience in AI/ML software development and strong Python skills. This position offers competitive compensation and the opportunity to own a core AI product from day one within a collaborative and innovative culture.

Benefits

Ownership of a core AI product

Collaborative innovation-first culture

Competitive compensation

Qualifications

• 4+ years of experience building production AI/ML software systems.
• Experience provisioning infrastructure as code on cloud providers.
• Strong background in deploying software in cloud and on-prem environments.

Responsibilities

• Design and build modular, portable, production-ready AI code.
• Re-engineer existing platforms to meet business needs.
• Drive feature cycles and enforce coding standards.

Skills

Cloud infrastructure deployment

Python programming

AI/ML systems development

Microservices architecture

Education

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

Tools

Docker

Kubernetes

CI/CD pipelines

SQL databases

NoSQL databases

Airflow

Tableau

Job description

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.