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Senior AI Engineer

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Onsite

Senior AI Engineer

Digital Place Vision Pte Ltd

Senior AI Engineer

Skills

Google Cloud PlatformSQL QueriesMongoDBTableauDockerPythonMicroservicesPostgreSQLMySQLMachine LearningAIAWSApache AirflowSupply ChainAzure

1 month ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

22 September 2026

What they need


About the role

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.

Key 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:

  • 4+ years in AI/ML engineering or software engineering, focused on building and deploying production systems.

  • Experience deploying software in cloud and on-prem environments (using Docker, K8s, CI/CD pipelines).

  • 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.

  • Experience deploying infrastructure as code on at least one major cloud service.

  • 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 inventory optimization, demand forecasting, or supply chain AI solutions is a plus.

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

What We Offer:

  • A high-impact role where you will own and shape a core AI product from the ground up.
  • A collaborative and innovation-first culture that values speed, integrity, and technical depth.
  • Competitive salary.

About us

At Digital Place Vision, we're a team of Visionaries on a mission to light up the retail world with intelligent AI. We're not just about tech; we're all about seeing the future of retail and making it happen today. From smarter operations to better decisions, we're here to turn your retail challenges into opportunities for growth.

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