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MABASA / LINKEDIN

Artificial Intelligence Engineer

NEXadept

Location
Singapore, Singapore
Work type
fulltime
Source publication date
Original publication date not confirmed
Source closing date
Not supplied — check original advert

Job description from the source

Our Client is looking for a **Senior AI Engineer** with strong experience in AI/ML engineering, software development and production deployment. The role will focus on building scalable AI solutions for retail and supply chain applications, while contributing to system architecture, cloud infrastructure and engineering best practices. You will work closely with the engineering team to transform AI/ML models and complex business requirements into reliable, scalable and production\-ready software solutions. **Key Responsibilities** * Design and develop modular, scalable and production\-ready software that can be deployed across **cloud and on\-premise environments** . * Re\-architect existing systems and convert complex retail and business requirements into scalable and reusable software components. * Design and build AI\-driven systems that integrate research models into robust commercial solutions. * Develop and maintain **microservices, APIs and system architecture** . * Improve software development processes, coding standards and **DevOps/MLOps practices** . * Support cloud deployment across platforms such as **AWS, GCP or Azure** . * Conduct code reviews and provide technical guidance to other engineers. * Ensure solutions meet appropriate standards for **security, performance, scalability and maintainability** . **Requirements** * Bachelor's or Master's degree in **Computer Science, AI, Operations Research** or a related field. * **4\+ years** of experience in AI/ML Engineering or Software Engineering, with experience building and deploying production systems. * Strong proficiency in **Python** and software development. * Hands\-on experience with **Docker, Kubernetes and CI/CD** . * Experience with **Infrastructure as Code** and at least one major cloud platform. * Strong understanding of **Microservices, API design and System Architecture** . * Experience with **SQL/NoSQL databases** and software testing frameworks such as PyTest. * Experience deploying **AI/ML models into production** . * Familiarity with MLOps/orchestration tools such as **Airflow, Prefect or Ray** is a plus. * Experience in **inventory optimization, demand forecasting or supply chain AI** is highly preferred.

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