Of course, as is expected, Artificial Intelligence jobs in Pune pay well! But ultimately, your salary will depend on the size of your organization, your job role as well as how qualified you are after completing the artificial intelligence course in Pune. The longer you stay in a particular field, the more likely you are to make more money in it - so always keep that in mind!
The top five AI roles in Pune are:
- Data Scientist - ₹1,344,892 LPA
- Big Data Engineer - ₹986,143 LPA
- ML Engineer - ₹897,124 LPA
- Data Analyst - ₹580,822 LPA
- Business Intelligence (BI) Developer - ₹575,478 LPA
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.
Some of the Career Opportunities in Artificial Intelligence are:
- Big Data Engineer
- Business Intelligence Developer
- Data Scientist
- Machine Learning Engineer
- Research Scientist
- AI Data Analyst
- Product Manager
- AI Engineer
- Robotics Scientist
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.
Step #3: Business Analyst
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.
Step #4: Data Architect
The role of Data Architects generally revolve around data warehousing, data architecture development, data modelling, ETL working, data cleaning, and elastic working and functionalities.
Step #5: Chief Data Officer/ Data Scientist
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.