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They generally engage with product teams to understand product roadmaps and future needs. The requirements
are Bachelor of Science or Master of Science in electrical engineering, computer science engineering or mathematics
and strong programming background. It also requires knowledge of deep neural network training interference,
optimization, in leading frameworks.
Big Data Engineer
They play a key role in designing, building big data environments in Hadoop and Spark systems (These two are
most prominent distributed systems for processing of data). They are generally experts in data warehousing
solutions. They can work with petabytes of data on a daily basis. They carry out the function of obtaining
outcomes from big data in a robust manner. Big Data Engineers should have strong programming experience.
They should have strong knowledge in handling databases.
Case Study of AI Start-ups in India
Start-ups can be defined as newly established businesses founded by some very creative people termed as
entrepreneurs. Our country is among the top listed nations that have achieved millions of funding for tech-
based start-ups. Some of the very famous ones are listed here:
Niramai Health Analytix is working on an innovative AI-based
method of detecting breast cancer in its early stage.
Haptik.ai is an artificial intelligence company powering chatbots which
are conversational assistants to improve customer experience.
Discover.ai is a Pune-based start-up which is using ML and
NLP to help the enterprises to reduce cost, boost revenues and
improve productivity.
Niki.ai was founded by IIT Kharagpur’s 4 graduates in May, 2015. Niki is a chatbot
product which works as an AI personal assistant. It understands the language of Indian
users and works for them like the famous household worker "Ramu kaka" shown in
movies.
Introduction to AI 181

