Requisition ID: 6940Country: SGWork Schedule: Non-Shift Work ScheduleEmployment Type: PermanentDescription:
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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