Senior AI Engineer

DIGITAL PLACE VISION PTE. LTD.; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

A tech company specializing in AI solutions is looking for a Senior AI Engineer in Singapore. The role involves designing and developing scalable AI solutions to address supply chain problems. Candidates should have 4+ years of experience in AI/ML engineering, strong Python skills, and proficiency in deploying software on cloud platforms. This position requires a background in software engineering, cloud infrastructure, and system architecture. Join an innovative team committed to creating high-impact AI applications.

Qualifications

• 4+ years in AI/ML engineering or software engineering.
• Experience with cloud and on-prem environments.
• Proficient in Python and core technical stacks.

Responsibilities

• Design and develop modular, production‑ready code.
• Re‑architect existing systems to meet business requirements.
• Integrate AI models into business solutions.

Skills

AI/ML engineering

Software engineering

Python programming

Cloud deployment (AWS, GCP, Azure)

Docker

Kubernetes (K8s)

SQL databases

NoSQL databases

Education

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

Tools

Airflow

Tableau

Job description

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. You’ll not only be a key contributor within a high-impact engineering team but also help shape the team’s engineering culture through technical guidance and support to others.

Responsibilities

• Design and develop modular, portable, and production‑ready code that can be deployed across cloud platforms (AWS, GCP, Azure) or on‑premise.
• Re‑architect and develop our existing system to support conversion of complex business and retail‑specific requirements into scalable and reusable software components.
• Design and build AI‑driven systems components that seamlessly integrate research models into robust, scalable business solutions.
• Follow and improve feature development cycles, software architecture patterns, coding standards, and DevOps/MLOps best practices across the engineering team.
• Review code, support the development of a culture of engineering excellence, and ensure deliverables meet security, performance, and maintainability standards.

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, Operations Research, or a related field.
• 4+ years in AI/ML engineering or software engineering, focused on building and deploying production systems.
• Experience deploying infrastructure as code on at least one major cloud service.
• Experience deploying software in cloud and on‑prem environments (using Docker, K8s, CI/CD pipelines).
• Experience architecting microservices, API and system design.
• Proficient in Python and core technical stacks, including:
• Databases: SQL (MySQL, PostgreSQL) and NoSQL (e.g: MongoDB)
• Testing frameworks: PyTest or equivalent for unit/integration testing tools
• Previous experience with deployment of AI models to production, working with orchestration tools (e.g., Airflow, Prefect, Ray, etc.) and reporting tools (e.g. Tableau, Holistics) is a plus.
• Previous experience with inventory optimization, demand forecasting, or supply chain AI solutions is a plus.