Deep Learning Engineer

A fast-growing company committed to revolutionizing security while lowering expenses is looking for a Deep Learning and Computer Vision Engineer. The engineer will be responsible for model optimization for embedded hardware or increased model parallelization on servers. The company's excellent artificial intelligence and robotics-powered security solutions aid in the prevention and protection of persons and property from violence and crime. Developers will have the opportunity to hone their abilities and work in a fast-paced atmosphere.

Job Responsibilities:

• Implement and deploy an object detection framework utilizing TensorRT, TensorFlow, PyTorch, and other tools
• Create people tracking across thousands of cameras
• Detect unexpected object additions or removals from an environment
• Create an activity categorization and anomaly detection system for a given scenario
• Detect and count the frequency of objects and individuals
• Take charge of a wide range of systems and see projects through to completion

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 5+ years of relevant experience as a software engineer
• Knowledge of TensorFlow, Keras, Caffe, or similar frameworks
• Understanding of computer vision and machine learning
• Experience with state-of-the-art CV/ML models and tools
• Experience leading a team and driving technical directions
• Knowledge of Python and/or C++ 
• 2+ years of experience as an engineering manager is nice to have
• Strong written and verbal communications
• Proficiency in English