
AI and Deep Learning
7 days ago
Responsibilities
- Develop ML models for vision intelligence
- Improve existing ML layers and modules
- Build data pipelines (knowledge of backend programming in Python is required)
- Build frontend and backend applications as required for Deeplearning Applications deployments.
- Train models using Adversarial networks
- Optimize inferencing software to run at better frame rates.
- Work on video pipelines and manipulate frames using OpenCV
- Design Gstreamer pipelines and work with Deepstream.
- Handle Cloud server programming for training and inferencing of the models.
Requirements
- Candidates with previous practical experience on any the ML frameworks like TensorFlow, PyTorch, etc. should apply
- Candidates with a proven record of C++ programming, specifically in concepts like pointers, maps, vectors, etc should apply
- Candidates with no prior experience in ML/AI but who have demonstrated exceptional skills in backend/frontend development will also be given equal preference
- Candidates with previous practical experience in deep-learning and developing full-stack web apps would be preferred
Skills Required
OpenCV, Python, Machine Learning, C Programming, C++ Programming, Deep Learning, Gstreamer, MQTT, Kafka
Additional Skills Desirable
- Web development using any framework like Django, Go, Flask etc
- Knowledge of Redis, RabbitMQ, Kafka
- Experience/exposure in Nvidia tools like Deepstream, CUDA etc
Skills: c++,deep learning,kafka,nvidia,opencv,mqtt,rabbitmq,gstreamer
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