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Glint Tech Solutions LLC Himalayas · Posted yesterday

Data Scientist / Computer Vision Engineer

Full time Remote

Computer Vision Engineering Data Science AI Engineering GPU programming
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Indexed 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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