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Data Scientist / Computer Vision Engineer - Glint Tech Solutions LLC
Data Scientist
Experienced Data Scientist and Computer Vision Engineer needed to design, develop, and scale high‑performance AI vision pipelines using NVIDIA DeepStream, CUDA‑accelerated GPU optimization, and distributed computing for enterprise applications.
About the role
Key Responsibilities
- Architect and implement end‑to‑end computer vision pipelines on NVIDIA DeepStream for real‑time enterprise workloads.
- Optimize deep learning models and inference code for GPU acceleration using CUDA and advanced GPU profiling tools.
- Design distributed training and inference systems that scale across multiple GPU nodes and cloud environments.
- Collaborate with product and engineering teams to integrate vision solutions into production services, ensuring reliability and low latency.
- Maintain code quality, documentation, and automated testing for all vision components.
Requirements
- 5+ years of professional experience in computer vision and deep learning, with a strong focus on GPU‑accelerated inference.
- Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Hands‑on expertise with NVIDIA DeepStream, CUDA, and GPU performance tuning.
- Experience building distributed computing pipelines (e.g., Kubernetes, MPI, or Ray) for large‑scale model training and serving.
- Solid understanding of image processing libraries (OpenCV) and ability to translate research prototypes into production‑grade code.
Skills
pythoncudatensorflowopencv