Senior AI Engineer — Scalable Supply Chain AI

Digital Place Vision Pte Ltd; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

Digital Place Vision Pte Ltd is seeking a Senior AI Engineer to build scalable AI solutions for supply chain challenges. You will contribute to an engineering‑driven culture, guiding development and deploying models across cloud and on‑prem environments.

The role emphasizes production readiness, microservices design, and collaboration with data teams. Strong Python, Docker/K8s, and CI/CD experience are essential for success.

Qualifications

• 4+ years in AI/ML or software engineering for production systems.
• Experience deploying software in cloud and on‑prem environments (Docker, K8s, CI/CD).
• Deployment of AI models to production with orchestration tools (Airflow, Prefect, Ray).
• Experience with infrastructure as code on major clouds.
• Experience architecting microservices and API/system design.
• Proficient in Python and databases (SQL/MySQL/PostgreSQL; NoSQL).
• Experience with inventory optimization, demand forecasting, or supply chain AI is a plus.
• Bachelor’s or Master’s degree in CS/AI/OR or related field.

Responsibilities

• Design modular, production-ready code deployable across cloud or on‑prem environments.
• Re-architect systems to convert complex requirements into scalable components.
• Build AI-driven system components that integrate research models into business solutions.
• Follow and improve DevOps/MLOps practices across the team.
• Review code and promote engineering excellence, ensuring security and performance.

Skills

AI/ML engineering

Python

Cloud deployment

Docker

Kubernetes

CI/CD

Microservices

API design

SQL

NoSQL

Education

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

Tools

Airflow

Prefect

Ray

Tableau

Holistics

Docker

Kubernetes

Job description

Digital Place Vision Pte Ltd is seeking a Senior AI Engineer to build scalable AI solutions for supply chain challenges. You will contribute to an engineering‑driven culture, guiding development and deploying models across cloud and on‑prem environments.

The role emphasizes production readiness, microservices design, and collaboration with data teams. Strong Python, Docker/K8s, and CI/CD experience are essential for success.