Ukraine Job Openings
Capgemini Engineering
Senior Machine Learning Engineer (Nvidia DeepStream, Ukraine)
October 15, 2024
Our client is a mission-driven organization. They are comprised of employees who are passionate about keeping people safe. Simply stated, they put people first, whether it’s protecting those visiting the places where people gather or through the support and development of our own employees. Our product is the world’s first and only touchless security screening solution that meets all of the post-pandemic security screening requirements. It is up to ten times faster and far more effective than last generation products because it uses new sensor technology and artificial intelligence. Unlike traditional metal detectors, it’s powered by AI Software Platform enabling the system to spot weapons while ignoring harmless personal items. It keeps high volume entrances flowing by reliably detecting guns and other weapons as visitors walk through at a natural pace while carrying their phones and bags. We are looking for an individual that can help optimize and deploy trained models onto edge devices for real time video analysis applications, focusing on performance tuning.
- Optimize and Deploy Models: Deploy trained models onto edge devices for real-time video analysis, ensuring optimal performance
- Performance Tuning: Profile and tune models using Nvidia Deep Stream/GStreamer for improved speed and reduced latency
- Python Development: Create and maintain Python applications for model integration and deployment
- Utilize Optimization Tools: Use Torch Script/Tensor RT for model optimization on Nvidia Jetson/Orin devices
- Implement Hardware Acceleration: Enhance model inference performance through hardware acceleration techniques
- Containerization and Version Control: Manage deployments with Docker and version control using Git
- Collaborate and Document: Work with cross-functional teams and document best practices and performance metrics
- Be a strong Python Programmer
- Have experience with Nvidia Deep Stream/GStreamer
- Have experience with Torch Script/Tensor RT for model optimization
- Have deployed models on the edge, e.g. Nvidia Jetson/Orin devices
- Have experience with hardware acceleration and performance profiling
- Familiar with Docker, Git and Linux
- Experience with AWS EC2/ECR for containerization and model deployment
- Experience with model versioning and management tools (e.g., DVC, MLflow)
- Experience with Post-training Quantization and Quantization Aware Training
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