Specialist - Artificial Intelligence

Job description

1. Application Development and AI Systems Engineering

• Design and deploy computer vision pipelines using advanced architectures (CNNs, Transformers, YOLO) to solve retail challenges like inventory tracking, people counting, and on-shelf availability.

• Optimize model inference for diverse environments, including handheld terminals (HHTs), edge devices, and cloud-based CCTV integration (e.g., Dahu a HTTP APIs).

• Implement image preprocessing and augmentation techniques to ensure model robustness against varying store lighting and camera angles.

• Continuously research and implement state-of-the-art ML/AI methodologies to ensure optimal balance between predictive accuracy, interpretability, and business relevance.

2. Scalable API Development and System Architecture

• Develop high-performance Python APIs (FastAPI/Flask) to integrate AI capabilities into retail mobile and web applications.

• Implement concurrency and parallel computing (multi-threading, AsyncIO, GPU acceleration) to handle high-throughput data from hundreds of retail outlets.

• Utilize advanced deep learning architectures (CNNs, RNNs, transformers) to analyze unstructured data such as images, text, and sequential signals

3. Cloud Infrastructure and AWS Integration

• Architect and maintain scalable AI solutions using AWS cloud services (Sagemaker, Lambda, EC2, S3) to support large-scale retail operations.

• Manage cloud resource utilization to balance computational performance with cost-efficiency across 500+ store locations.

4. MLOps, Dockerization, and CI/CD

• Integrate DevSecOps best practices by embedding security scanning, identity management (IAM), and data encryption into the application development lifecycle.

• Ensure the maintainability and reproducibility of the codebase through rigorous version control (Git) and automated documentation.

• Collaborate with IT and Security teams to ensure AI applications comply with corporate data governance and retail privacy standards.

• Continuously track model performance and implement updates to maintain accuracy, fairness, and business relevance. (e.g., Docker, CI/CD, Airflow, MLflow)

5. DevSecOps and Lifecycle Management

• Integrate DevSecOps best practices by embedding security scanning, identity management (IAM), and data encryption into the application development lifecycle.

• Collaborate with IT and Security teams to ensure AI applications comply with corporate data governance and retail privacy standards.

6. Business Impact, Maintenance, and Innovation

• Partner with store operations and product teams to translate retail pain points into ""smart"" automated solutions that reduce manual labor and improve efficiency.

• Provide end-to-end maintenance for deployed AI applications, ensuring high availability and rapid troubleshooting of production issues.

• Lead rapid prototyping sprints to validate emerging technologies (e.g., Generative AI, Agentic workflows) and evaluate their potential for driving measurable ROI.

Role Requirements

• Bachelor’s Degree in Computer Science, AI, Data Science, Software Engineering, or related field

• 3–5 years of experience in AI/ML, software engineering, or application development, including 2+ years in production AI deployment

• Strong Python skills for application and API development (FastAPI / Flask)

• Hands-on experience in computer vision (e.g. CNNs, YOLO, transformers) using PyTorch, TensorFlow, OpenCV, or similar

• Experience building and deploying real-world CV solutions (object detection, tracking, people counting, image classification)

• Familiarity with AWS or similar cloud platforms (e.g. SageMaker, EC2, Lambda, S3)

• Working knowledge of Docker, CI/CD, Git, and basic MLOps practices

• Experience optimising model inference for cloud, edge, or device environments

• Understanding of secure deployment and data governance principles

• Strong problem‑solving skills with good communication and teamwork ability

• Experience in retail, FMCG, surveillance, or IoT is an added advantage

• Exposure to Generative AI or emerging AI technologies is a plus

• Willing to work in office based at Bukit Jelutong, Shah Alam

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