Deep Learning Engineer

• Expert of Python Hands-on experience in bundling unstructured (Image, Video, Audio) and build solution using Deep Learning/ Machine Learning Experience implementing object detection, GAN’s Knowledge of reinforcement learning is a plus.
• Good grasp and detailed knowledge of any one deep learning library (PyTorch, Tensorflow, Caffe etc.) a must
• Experience with Data Visualization tools like Tableau, Microsoft Power BI and Sisense
• Exposure to working on AI/ Data Science/ Analytics platforms like Microsoft AI, AWS AI, IBM WATSON, H20, Knime
• 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 since algorithms with due attention to computational efficiency and testing at scaleEхреrіеnсе in machine learning, supervised and unsupervised,
• Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Neural Networks, Deep Learning Algorithms
• Strong problem solving skills 

• Work on end to end data science lifecycle. from building proof of concept models to production-ready models & work 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 framework  Should be able to effortlessly switch between roles of an individual contributor, team member, and data science manager as demanded by each project
• Figure out gaps in existing products and add intelligence to improve it.
• Designing the frameworks in data sciences (R, Python, Azure ML, AWS ML, Google ML, Spark etc) to be used in relevant projects Keep updated on 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 (some novel architectures, training techniques etc and be able to implement it fully to solve our specific problem

-Fun and friendly people to work with 

-Flexible working hours 

-5 Working Days

-Festival Allowance

-Health Insurance 

-Fully Remote (You may need to visit the office when required)