What are the Career Prospects in Machine Learning in India?

Some of the top job roles for machine learning in India are Data Architect, Machine Learning Engineer, Data Mining Specialists, Data Scientist, Cloud Architects, and Cyber Security Analysts and even more. Here are some of the highly demanded Machine Learning jobs for you in India. Data Scientist and Data Analysts are two of the job positions for freshers after completing machine learning course in India.

Want to learn Data Science Course in Delhi.

Machine Learning Engineer

A machine learning engineer is responsible to create great algorithms to decipher sensible patters from huge amounts of data. Machine Learning Engineers are responsible to focus on Java, Python, C++, Scala, and JavaScript. He should be able to build highly scalable networks and work with teams focusing on personalization. Machine learning engineers need to implement and design ML algorithms/applications, including anomaly detection, clustering, prediction and classification to meet business needs.

Data Architect/Data Engineer

Data Engineers are engaged in big data ecosystem of an organization. With strong base in programming, they need to know about Hadoop, Hive, MapReduce, MySQL, Cassandra, SQL, MongoDB, NoSQL, programming and Data streaming. Along with it, they should also have skills in Ruby, R, Python, Perl, C++, SAS, Java, SPSS and Matlab.

Data Infrastructure engineers are engaged in constructing, developing, testing and maintaining very scalable data management platforms. Data Engineers also develop software components and custom analytics applications. Data Engineers store and collect the data, do batch or real time processing, and save it to data scientists for analysis via API.

Data Scientist

Data Scientist is one of the most popular professions these days. Data Scientists are excellent in SAS, R, Python, MatLab, SQL, Pig, Hive, and Spark. They are excellent in Big Data tools and technologies. They have great coding knowledge to get through huge range of unstructured data to help design strategies. Data Scientists are known to clean, structure, and manage big data from several sources.

Data Analyst

In most organizations, Data Analysts are expected to learn about data storing and retrieval systems, data warehousing and data visualization with Hadoop-based analytics, ETL tools, and concepts of business intelligence. These passionate and persistent data miners have strong knowledge base and background in statistics, math, programming and machine learning. Some of the core responsibilities of data analyst are deploying and designing algorithms, recognizing risks, triaging code problems, etc.

Pay Scale for Machine Learning in India

India has thousands of data analytics jobs open in the market and is expecting to grow up to 100,000 positions by 2020. There is a 60% growth in requirements for machine learning and AI specialists in the year 2018. The IT sector will constantly hire newer skills and there will be a great rise in demand for ML and AI specialists.

Mid-level professionals in analytics positions are progressing towards higher positions with salary of Rs. 15L to 25L. When it comes to higher salary packages, Mumbai leads for Machine Learning jobs in India, at around Rs. 13.3L per annum. In Bangalore, Machine Learning jobs are close with Rs. 12.5L per annum, followed by NCR with Rs. 11.8L per annum.

TGC India is the best machine learning institute in Delhi where you can find different courses with placement assurance.

What are the Career Prospects in Machine Learning in India?

Some of the top job roles for machine learning in India are Data Architect, Machine Learning Engineer, Data Mining Specialists, Data Scientist, Cloud Architects, and Cyber Security Analysts and even more. Here are some of the highly demanded Machine Learning jobs for you in India. Data Scientist and Data Analysts are two of the job positions for freshers after completing machine learning course in India.

Want to learn Data Science Course in Delhi.

Machine Learning Engineer

A machine learning engineer is responsible to create great algorithms to decipher sensible patters from huge amounts of data. Machine Learning Engineers are responsible to focus on Java, Python, C++, Scala, and JavaScript. He should be able to build highly scalable networks and work with teams focusing on personalization. Machine learning engineers need to implement and design ML algorithms/applications, including anomaly detection, clustering, prediction and classification to meet business needs.

Data Architect/Data Engineer

Data Engineers are engaged in big data ecosystem of an organization. With strong base in programming, they need to know about Hadoop, Hive, MapReduce, MySQL, Cassandra, SQL, MongoDB, NoSQL, programming and Data streaming. Along with it, they should also have skills in Ruby, R, Python, Perl, C++, SAS, Java, SPSS and Matlab.

Data Infrastructure engineers are engaged in constructing, developing, testing and maintaining very scalable data management platforms. Data Engineers also develop software components and custom analytics applications. Data Engineers store and collect the data, do batch or real time processing, and save it to data scientists for analysis via API.

Data Scientist

Data Scientist is one of the most popular professions these days. Data Scientists are excellent in SAS, R, Python, MatLab, SQL, Pig, Hive, and Spark. They are excellent in Big Data tools and technologies. They have great coding knowledge to get through huge range of unstructured data to help design strategies. Data Scientists are known to clean, structure, and manage big data from several sources.

Data Analyst

In most organizations, Data Analysts are expected to learn about data storing and retrieval systems, data warehousing and data visualization with Hadoop-based analytics, ETL tools, and concepts of business intelligence. These passionate and persistent data miners have strong knowledge base and background in statistics, math, programming and machine learning. Some of the core responsibilities of data analyst are deploying and designing algorithms, recognizing risks, triaging code problems, etc.

Pay Scale for Machine Learning in India

India has thousands of data analytics jobs open in the market and is expecting to grow up to 100,000 positions by 2020. There is a 60% growth in requirements for machine learning and AI specialists in the year 2018. The IT sector will constantly hire newer skills and there will be a great rise in demand for ML and AI specialists.

Mid-level professionals in analytics positions are progressing towards higher positions with salary of Rs. 15L to 25L. When it comes to higher salary packages, Mumbai leads for Machine Learning jobs in India, at around Rs. 13.3L per annum. In Bangalore, Machine Learning jobs are close with Rs. 12.5L per annum, followed by NCR with Rs. 11.8L per annum.

TGC India is the best machine learning institute in Delhi where you can find different courses with placement assurance.