AI Engineer

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading AI consultancy firm in Singapore is looking for a skilled software engineer to design and build modular, production-ready code that can run on various cloud platforms or on-premise. The ideal candidate will have expertise in AI/ML systems, strong Python skills, and experience with cloud deployment. This role offers ownership of a core AI product from day one along with competitive compensation and a collaborative culture.

Benefits

Ownership of a core AI product

Collaborative 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.
• Comfort deploying software in cloud and on-prem environments.

Responsibilities

• Design and build production-ready code that runs on any cloud or on-premise.
• Re-engineer the platform for scalable components.
• Create AI-driven modules to integrate research models.

Skills

Python

Cloud infrastructure (AWS, GCP, Azure)

Docker

Kubernetes

CI/CD pipelines

Microservices design

APIs design

SQL databases

NoSQL databases

Orchestration tools (Airflow, Prefect, Ray)

Education

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

Tools

Testing frameworks (PyTest)

Reporting tools (Tableau, Holistics)

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.