Mumbai is India's financial capital, and today, it has made its way into the top Indian cities boasting of a rapidly expanding IT sector. Naturally, it presents a strong case for Artificial Intelligence applications. Banks, financial services & insurance firms, tech startups, IT companies, eCommerce companies, and healthcare institutes in Mumbai are some of the major proponents of AI technology. Artificial Intelligence tools and technologies allow organizations to optimize and automate business processes, increase sales through highly targeted marketing campaigns, boost customer satisfaction, and much more.

AI technologies like Machine Learning, Deep Learning, Natural Language Processing (NLP), Robotics, IoT, etc., facilitate the creation of innovative solutions like virtual assistants, chatbots, IoT devices, face recognition software, and recommendation engines. Companies across all industries in Mumbai have started adopting these new-age AI solutions.

Thus, if you wish to build a successful career in Data Science in Mumbai, the best thing would be to opt for an Artificial Intelligence course in Mumbai. An AI course will introduce you to both fundamental and advanced AI and ML concepts. Plus, you will learn how to build real-world AI applications (something that all employers like to see!). After course completion, you will have a host of career options before you, such as Data Scientist, Data Analyst, Business Analyst, Deep Learning Engineer, Machine Learning Engineer/Developer, Big Data Engineer/Developer, BI (Business Intelligence) Developer.

The annual salary packages of Artificial Intelligence jobs in Mumbai depends on factors like the job role, company size, and a candidate's qualifications, skillset, and experience. The better qualifications and higher is your experience, the higher will be your annual package.

Machine Learning and AI positively impacts virtually every industry by improving consumer experience, mobilising work-flow and re-inventing the way we use technology to improve our day-to-day lives. As technology continues to advance, so do the myriad career opportunities in Artificial Intelligence. Some of the world’s leading companies hire AI professionals as Data Scientists, ML Engineers, AI Engineers and Software Engineers.

Furthermore, AI professionals can opt for a career across industries as demand for this skill is not limited to one. The finance sector, the automobile and retail industry, security and surveillance industry, IT, online customer support among many others are all key recruiters looking for quality professionals.

Most people confuse business analysts with analysts, but the former is 1 step above. Hence, their concerned domains also differ and include product/ project SDLC, programming logic and solutions, vendor coordination, MDM & logics, and business processes.

The role of Data Architects generally revolve around data warehousing, data architecture development, data modelling, ETL working, data cleaning, and elastic working and functionalities.

The CDO works with advanced data algorithms, advanced predictive algorithms, big data processing, NoSQL, and ETL logic. Their primary task is also to innovate and hence, they are the creators.