While Delhi holds immense potential for AI aspirants, the average annual packages primarily depend on different factors like company reputation & size, job profile, and a candidate's qualifications, skillset, and experience. As per the general rule, candidates with advanced qualifications and industry experience (over 5-10 years) earn higher salaries.
Below are five popular AI roles in Delhi with their corresponding salaries:
- Big Data Developer - ₹1,306,782 LPA
- Data Scientist - ₹1,044,446 LPA
- BI Developer - ₹743,495 LPA
- ML Engineer - ₹740,778 LPA
- Data Analyst - ₹547,172 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.