AI and Deep Learning

Responsibilities:1. Develop ML models for vision intelligence2. Improve existing ML layers and modules3. Build data pipelines (knowledge of backend programming in Python is required)4. Build frontend and backend applications as required for Deeplearning Applications deployments.5. Train models using Adversarial networks6. Optimize inferencing software to run at better frame rates.7. Work on video pipelines and manipulate frames using OpenCV8. Design Gstreamer pipelines and work with Deepstream.9. Handle Cloud server programming for training and inferencing of the models.
Requirements:1. Candidates with previous practical experience on any the ML frameworks like TensorFlow, PyTorch, etc. should apply2. Candidates with a proven record of C++ programming, specifically in concepts like pointers, maps, vectors, etc should apply 3. Candidates with no prior experience in ML/AI but who have demonstrated exceptional skills in backend/frontend development will also be given equal preference4. 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, KafkaAdditional skills desirable:

1. Web development using any framework like Django, Go, Flask etc
2. Knowledge of Redis, RabbitMQ, Kafka
3. Experience/exposure in Nvidia tools like Deepstream, CUDA etc