About the Data Scientist Computer Vision Engineer role
Data Scientist Computer Vision Engineer positions focus on delivering results in their domain. This page aggregates open Data Scientist Computer Vision Engineer roles and what employers typically expect.
We are seeking a highly experienced **Data Scientist / Computer Vision Engineer** to join an innovative AI team building large-scale computer vision solutions for enterprise applications. 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. ## Responsibilities - 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 ## Required Qualifications - 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 ## Preferred Qualifications - 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