Data Scientist / Computer Vision Engineer
Glint Tech Solutions LLCHimalayas
ai engineeringdeveloperbackend engineeringcomputer vision engineeringdata scientistcomputer vision engineercomputer vision scientistdata science engineergpu programmingcomputer vision software engineercomputer vision and machine learning engineer
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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