Data Scientist / Computer Vision Engineer

• Design, develop, and optimize computer vision solutions for real-world production environments
• Build scalable AI inference pipelines using NVIDIA DeepStream
• Optimize GPU performance for high-throughput, low-latency computer vision workloads
• Develop and deploy distributed computer vision applications across large-scale infrastructure
• Design and implement microservices supporting AI and computer vision platforms
• Collaborate with AI researchers, software engineers, and infrastructure teams to deliver production-ready solutions
• Improve system performance, scalability, and reliability across GPU-accelerated environments
• Troubleshoot performance bottlenecks and optimize inference pipelines

Do you have experience in System tuning?, The ideal candidate will have deep expertise in NVIDIA DeepStream, GPU optimization, distributed computing, and production-grade computer vision systems. This is a highly technical role requiring hands-on experience developing scalable, high-performance AI applications., * Strong experience with Computer Vision technologies and production deployments

• Hands-on experience with NVIDIA DeepStream (Required)
• Strong understanding of GPU optimization and performance tuning
• Experience building microservices architecture
• Experience with distributed computing systems
• Strong programming skills in Python and/or C++
• Experience deploying scalable AI applications in production
• Excellent problem-solving and performance optimization skills, * Experience with NVIDIA CUDA or TensorRT
• Experience with OpenCV, GStreamer, or NVIDIA SDKs
• Familiarity with Kubernetes and Docker
• Experience with cloud platforms (AWS, Azure, or GCP)
• Experience deploying machine learning or deep learning models in production
• Knowledge of real-time streaming and edge AI solutions

Required Skills (Must Have)

NVIDIA DeepStream GPU Optimization Computer Vision Microservices Architecture Distributed Computing