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

Senior ML Engineer (Computer Vision & Video Analytics)



Job description

Requisition ID:
6940 Country:
SG Work Schedule:
Non-Shift Work Schedule Employment Type:
Permanent 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 in
computer 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

Other General



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