A thorough assessment of resources and processes to implement PyTorch, and devising a roadmap with well-defined KPIs for every role.
From data labeling to model deployment and beyond - end-to-end development of varied machine learning models like computer vision, NLP, LSTM, etc.
Developing processes, workflows, and data pipelines to ensure a smooth handover between teams resulting in faster got-to-market
An extended remote team to support your PyTorch applications and guide your team to independently manage and monitor the developed models