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Urgent! Senior ML Engineer (Computer Vision & Video Analytics) Job Opening In Singapore, Singapore – Now Hiring Changi Airport Group

Senior ML Engineer (Computer Vision & Video Analytics)



Job description

We are seeking a Senior ML Engineer to lead the design and deployment of next-generation real-time computer vision and video analytics platforms.

This role combines cutting-edge computer vision, Generative AI, and agentic AI to power large-scale, mission-critical solutions across edge, on-prem, and cloud environments.

What You’ll Do

  • Lead the architecture and development of enterprise-grade, real-time video analytics solutions.

  • Build and optimize distributed data pipelines for high-volume, low-latency video streams.

  • Integrate advanced deep learning and multimodal AI models (detection, segmentation, tracking, classification) into live video workflows.

  • Apply Generative AI (LLMs, multimodal, RAG) to enhance situational awareness and adaptive system response.

  • Drive GPU optimization and performance tuning for large-scale deployments.

  • Shape our AI roadmap, evaluating and adopting the latest advancements in CV, GenAI, and agentic AI.

  • Ensure scalability, reliability, and governance of deployed AI systems.

What We’re Looking For

  • Bachelor Degree with 6+ years of hands-on experience incomputer vision, AI/ML, or video analytics, with real-world deployments.

  • Strong expertise in cloud platforms (AWS, GCP) — experience with services like Sagemaker, Vertex AI, BigQuery, Kinesis, or equivalent.

  • Proficiency with video frameworks (NVIDIA DeepStream, OpenCV, GStreamer) and modern CV models (YOLO, DETR, SAM, Transformers).

  • Solid knowledge of real-time data streaming (Kafka, Pub/Sub, or similar).

  • Strong programming skills in Python and C++, with experience in PyTorch, TensorFlow, TensorRT.

  • Hands-on experience with GPU acceleration (CUDA), Docker/Kubernetes, and microservices for scalable AI systems.

  • Familiarity with GenAI and agentic AI frameworks in production settings.

Nice-to-Haves

  • Experience with MLOps: model deployment, monitoring, lifecycle management.

  • Understanding of video compression and streaming protocols (H.264, H.265, RTSP, WebRTC).

  • Strong communication and leadership skills to influence both technical direction and business strategy.

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Required Skill Profession

Database, Analytics & Bi



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