AI and Deep Learning

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

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