Turn this role into an interview — a resume and cover letter built around what this employer wants.
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.
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.
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.
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.
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.
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.