Details:

• 5-10 years of Experience 
• Experience in neural networks, graphical models, reinforcement learning, and natural language processing 
• Experience in Computer Vision techniques and image detection neural network models like semantic segmentation, instance segmentation, object detection, etc 
• In-depth understanding of benchmarking, parallel computing, distributed computing, machine learning, and AI 
• Programming experience in one or more of the following: Python, C, C++, C#, Java, R, and toolkits such as Tensorflow, Keras, PyTorch, Caffe, MxNet, SciPy, SciKit, etc
• Ability to perform research that is justified and guided by business opportunities 
• Demonstrated successful implementation if industry grade AI solutions in the past
• Ability to lead a team of AI engineers in an agile development environment

Min. Qualification:

NA

Skills Required:

Machine Learning, Artificial Intelligence, Neural Network, Python, Java

Roles:

• Extensive research and development of new AI/ML techniques that enables learning the semantics of data (images, video, text, audio, speech, etc) 
• Improving the existing ML and DNN models and products through R&D on cutting edge technologies 
• Collaborate with Machine Learning teams to drive innovation of complex and accurate cognitive system 
• Collaborate with Engineering and Core team to drive innovation of scalable ML and AI serving production platforms 
• Create POCs to quickly test a new model architecture and create improvement over an existing methodology 
• Introduce major innovations that can result in better product features and develop strategies and plans required to drive these 
• Lead a team and collaborate with product managers, tech review complex implementations and provide optimisation best practices