RemoteListed Jun 26, 2026
Data Scientist / Computer Vision Engineer
Glint Tech Solutions LLC
- AI-Engineering
- Backend-Engineering
- Computer-Vision-Engineer
- Computer-Vision-Engineering
- Computer-Vision-Scientist
- Computer-Vision-Software-Engineer
- Computer-Vision-and-Machine-Learning-Engineer
- Data Science
- Data-Science
- Data-Science-Engineer
- Data-Scientist
- Developer
- GPU-programming
Assessed from original listing evidence
The role
Job description
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
Originally posted on Himalayas
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