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Glint Tech Solutions LLC

Data Scientist / Computer Vision Engineer

Remote — United States (see country and timezone requirements)

Check who can apply and the requirements below before continuing.

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

Who can apply

Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.

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