What makes you a great fit:

• Hands-on experience in handling unstructured (image, video, audio) and build solutions using Deep
• Experience in implementing object detection, GANs. Knowledge of reinforcement learning is a plus.
• Good grasp and detailed knowledge of any one deep learning library (PyTorch, Tensorflow, Caffe, etc.) is a must
• Strong business acumen to understand business objectives & dynamics and possess excellent written and verbal communication skills for coordinating across teams
• Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale.
• Experience in machine learning, supervised and unsupervised : Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Neural Networks, Deep Learning Algorithms.
• Work on end-to-end data science lifecycle : from building proof-of-concept models to production-ready models & working with engineers to deploy them to production
• Execute and take ownership of deep learning projects end-to-end.
• Good exposure to various deep learning algorithms and frameworks
• Should be able to effortlessly switch between roles of an Individual Contributor, team member, and data science manager as demanded by each project
• Keep updated on the latest research in AI and deep learning and find ways in which it can be used to solve business problems
• Must be able to read research papers (eg: some novel architectures, training techniques, etc.) and be able to implement it fully to solve our specific problems