Job Description

Role: Vision AI Engineer
Location: Singapore
Employment Type: Full-time
About the Role
We're looking for a Vision AI Engineer to help build next-generation video intelligence systems powered by modern vision-language models. You'll work across the full video understanding stack-combining multimodal foundation models with established analytics approaches to deliver reliable, production-ready AI solutions.
Key Responsibilities

• Build end-to-end video analytics pipelines using vision-language models.
• Fine-tune and adapt foundation models for domain-specific video understanding.
• Integrate VLM reasoning with traditional video analytics components.
• Develop and maintain inference pipelines for video and multimodal data.
• Deploy and optimize models for scalable, high-performance production use.
• Diagnose model issues and strengthen system stability and robustness.
• Collaborate with product and engineering teams to deliver AI-driven features.

Required Qualifications

• Strong background in computer vision, video analytics, or AI engineering.
• Practical experience with vision-language and video-language architectures.
• Hands-on experience fine-tuning, evaluating, and deploying deep learning models.
• Familiarity with foundation models such as CLIP-based architectures, BLIP/BLIP-2, and open-source VLMs (e.g., Qwen-VL, InternVL).
• Proficiency in Python and deep learning frameworks (e.g., PyTorch).
• Solid understanding of CNNs, Transformers, and attention mechanisms.
• Experience with model optimization techniques (quantization, batching, memory strategies).
• Experience deploying models on Docker, cloud platforms, or on-prem GPU systems.

Preferred Qualifications

• Master's or PhD in Computer Vision, Machine Learning, AI, or related fields.
• Experience with real-time or near-real-time video analytics.
• Familiarity with traditional VA methods (detection, tracking, motion analysis).
• Exposure to MLOps workflows (versioning, CI/CD, monitoring).
• Interest in modern VLM and video understanding research.

What We Offer

• Opportunities to work on cutting-edge multimodal AI technologies.
• Ownership of production-scale video intelligence pipelines.
• A collaborative environment that blends research and engineering.

Skills Required