Machine Learning domain offers the trendiest jobs today. India has plenty of opportunities and demand in this field.
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According to a survey , a machine learning engineer in India gets an annual pay of about 13 lakhs. According to a recent June 2019 Glassdoor survey on salaries, the national average salary for a Machine Learning Scientist is ₹40,99,326 in India.
There are a number of different career paths that come with it. Here are some of the top and the most common ones:
1. Data Scientist
Role: Data scientists are mainly involved in data cleaning and modeling. Their job is to make use of the available data and forecast based on the past data or discover useful information out of it. The position expects collaborates with others in the related field in the company, to drive the best possible insight. According to a 2019 survey by Analytics India Magazine, Python was the most popular language for data science practitioners. Over 75 percent of respondents said that it was crucial for job seekers to Python to get a job in this field.
Skill Requirements: Applying to data scientist position will require the candidate to have a good background of statistics, in addition to having a good programming background, mostly in Python. Other popular languages are R and SQL since these languages have good support of statistics. They have many machine learning applications in their work.
2. Computational Linguist/NLP Engineer
Role: Computers have been used for language teaching since the 1960s. The voice recognition, speech to text and many others used by everyone today in everyday lives have machine learning at its backbone. Computers learn to understand spoken languages through computational linguistics and learn from it as well with the aid of patterns in speech. A job role of a computational linguist or an NLP engineer is to work on these applications. Some other applications in this area are in automated scoring of non-native responses in language tests like GRE and TOEFL, computer-assisted spoken language tutoring like elsaspeak.com, mobile-based language learning app development like Duolingo, grammar checkers such as Grammarly and in educational data mining.
Skill Requirements: Apart from the machine learning skills, this job requires a strong understanding of the syntax, spelling, and grammar of at least the language that the role requires.
3. Machine Learning Engineer
Role: A machine learning engineer is responsible for the design and development of machine learning systems, by using appropriate algorithms and tools. ML engineers do data modeling and evaluation. The engineers shape and build efficient self-learning applications by performing statistical analysis and fine-tuning using test results. Their job requires them to train and retrain systems when necessary.[…]
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Machine Learning domain offers the trendiest jobs today. India has plenty of opportunities and demand in this field.
copyright by www.analyticsindiamag.com
There are a number of different career paths that come with it. Here are some of the top and the most common ones:
1. Data Scientist
Role: Data scientists are mainly involved in data cleaning and modeling. Their job is to make use of the available data and forecast based on the past data or discover useful information out of it. The position expects collaborates with others in the related field in the company, to drive the best possible insight. According to a 2019 survey by Analytics India Magazine, Python was the most popular language for data science practitioners. Over 75 percent of respondents said that it was crucial for job seekers to Python to get a job in this field.
Skill Requirements: Applying to data scientist position will require the candidate to have a good background of statistics, in addition to having a good programming background, mostly in Python. Other popular languages are R and SQL since these languages have good support of statistics. They have many machine learning applications in their work.
2. Computational Linguist/NLP Engineer
Role: Computers have been used for language teaching since the 1960s. The voice recognition, speech to text and many others used by everyone today in everyday lives have machine learning at its backbone. Computers learn to understand spoken languages through computational linguistics and learn from it as well with the aid of patterns in speech. A job role of a computational linguist or an NLP engineer is to work on these applications. Some other applications in this area are in automated scoring of non-native responses in language tests like GRE and TOEFL, computer-assisted spoken language tutoring like elsaspeak.com, mobile-based language learning app development like Duolingo, grammar checkers such as Grammarly and in educational data mining.
Skill Requirements: Apart from the machine learning skills, this job requires a strong understanding of the syntax, spelling, and grammar of at least the language that the role requires.
3. Machine Learning Engineer
Role: A machine learning engineer is responsible for the design and development of machine learning systems, by using appropriate algorithms and tools. ML engineers do data modeling and evaluation. The engineers shape and build efficient self-learning applications by performing statistical analysis and fine-tuning using test results. Their job requires them to train and retrain systems when necessary.[…]
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
read more – copyright by www.analyticsindiamag.com
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