Deep Learning Engineer

Join us and be part of our exciting journey in becoming the global leader in video analytics!

We are streamingo.ai , a deep learning company working in the domain of activity recognition. The company has developed 2 products on a MEAN stack architecture. We are now looking for a specific skill set to augment our Core platform team of engineers ( They have developed https://deeplabel.app).

We are a deep learning company focused on human activity detection , human object interaction and object detection. Our core product https://deeplabel.app is a low code AI platform that simplifies development of enterprise grade workflows for analysis of videos ( focused on activity recognition and human object interaction). The platform has been architected to make it simple for an organization to create and deploy pipelines that accomplish automation of existing workflows (ex : automated consumer behaviour analysis, sports analysis ( player tracking and similar use cases) , automated shopper behaviour analysis in retail, automated image analysis for healthcare and many more. The cutting edge work in video AI we do has attracted excellent research talent from the top institutions of India. Join us to have a great career filled with learning, productization of cutting edge AI research and building scaled out Web architectures using the latest and greatest technologies.

Ideally you'd have:

4+ years of model training, deployment and maintenance in a production environment.

Strong skills in computer vision, NLP, or deep learning.

Solid background in algorithms, data structures, and object-oriented programming.

Strong programing skills in Python, experience in Tensorflow or PyTorch.

Nice to have:

Experience with deep learning with large scale video processing.

Published research in areas of machine learning at major conferences and/or journals.

Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.

Mentored and grown members of your team or been a tech lead on large projects.,