With the democratization of ChatGPT , AI has come to mainstream and being used by many organizations from customer support, to developers. Our AI ML developers can collaborate with project teams, data science teams and development teams to drive the technical roadmap and guide development and implementation of new data driven business solutions. Our developers have experience to :
Architecture and design of AI Platform services including Machine Learning Engines, In Memory Computing Systems, Streaming Computing Systems, Distributed Data Systems and etc, in Golang, Java, and Python.
Our Robotic Process Automation (RPA) can help Build high-level performance models and analyze performance of DNNs, propose new hardware features, backed by performance estimates, define and write performance validation tests and analyze results, debug performance bottlenecks and issues in simulation. While RPA is used to work in conjunction with people by automating repetitive processes (attended automation), AI is viewed as a form of technology to replace human labor and automate end-to-end (unattended automation). RPA uses structured inputs and logic, while AI uses unstructured inputs and develops its own logic. Our experts can help create your AI, ML and RPA automation as needed.