Kolkata is a city brimming with the potential for a great career in Artificial Intelligence! With that said, all jobs ultimately depend on the size of the organization, how long they have been operating, and how willing they are to take risks on their new hires. The longer you keep working in an industry, the more you will earn!
Some popular roles that students can explore after completing an artificial intelligence course in Kolkata, along with their corresponding salaries, are:
- Big Data Developer - ₹1,242,453 LPA
- Data Scientist - ₹1,145,443 LPA
- BI Developer - ₹779,451 LPA
- ML Engineer - ₹760,856 LPA
- Data Analyst - ₹590,345 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.