Data Scientist / Computer Vision Engineer

🏢 Glint Tech Solutions LLC · all 16 jobs
📍 United States
📅 Posted Oct 1, 2026 · via Himalayas
🏷 Data Scientist, Computer Vision Engineer, Machine Learning Engineer, AI Engineer, Computer Vision And Machine Learning Engineer, Computer Vision ML Engineer +4 more
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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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