Subject NQT - Machine Learning

Assess your ability to design, implement and maintain Machine Learning (ML) solutions

(Price inclusive of all applicable taxes)
Application Guidelines

NA

Test Date

30th January, 2023 onwards

(For January Exam)

Applications are Open

Up to 15th January, 2023

(For January Exam)

Next Exam Cycle

January 2023, April 2023

(Applications are open)

Test Date

30th January, 2023 onwards

(For January Exam)

Applications are Open

Up to 15th January, 2023

(For January Exam)

Next Exam Cycle

January 2023, April 2023

(Applications are open)

TCS NQT Job Placements - Some of the Success Stories

    About the Test

  • All NQT Variants Scorecard are valid for two years
  • Conducted Online (at home) and physical In-Centre at TCS iON Authorised Exam Centres
  • Flexibility to apply in each quarter, providing an opportunity to appear for multiple attempts to improve NQT Score. (Only the Best Score will be published for Candidates applying using the same registration number)
  • Candidates with NQT Score can apply for jobs on the TCS iON Job Listing Portal
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Who can Apply

Anyone aspiring for Machine Learning related job roles in top corporates

Students who are in their pre-final or final year, pursuing any degree

Freshers and professionals with up to 2 years of work experience

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Job Prospects

  • The world is not just becoming digital, but also becoming increasingly “smarter” by the day. With our gadgets evolving subsequently, they are expected to not only perform, but also learn to decide for us. All of this happens through Machine Learning. Therefore, various industries felt an increasing need for Machine Learning experts.
  • According to a report, out of 10 lakh registered firms in India, 75% have already invested or are ready to invest in Machine Learning. This high demand is creating several job opportunities in this field.
  • Average salary range of ₹ 3 to 4.5 LPA (Fresher) and ₹ 6 to 10 LPA (Experienced)
  • Industries offering jobs in ML: Healthcare, Education, Retail, Manufacturing, Supply chain and Logistics, BFSI, Governance, Education

    Test Coverage

  • Total Marks - 100
  • Duration - 120 Mins
  • Basics of Statistics - Basic concepts of Statistics
  • Basics of Machine Learning - Focusses on the terminologies of Machine Learning and Algorithms
  • Machine Learning Methodology (CRISP DM) - Covers all methodologies of Machine Learning
  • Key concepts of Machine Learning - Covers all the concepts of Machine Learning
  • Machine Learning Algorithms with real-life use cases - Covers all the real-life use cases
  • Exploratory Data Analysis - Exploratory data analysis (EDA) is an approach to analysing data sets to summarise their main characteristics, often with visual methods

    Advantages of Subject NQT - Machine Learning

  • Become a part of this growing industry by demonstrating and proving your skills
  • Get an opportunity to improve your scores through unlimited attempts
  • Get access to several job opportunities in this sector
  • Achieve a faster career growth, along with a hefty compensation, job satisfaction and security
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Key Features

A structured test designed by subject matter experts and aligned with industry expectations

Standardised benchmark test that validates role-specific core skills to perform various job roles

Access to top corporates looking for talent on the TCS iON Job Listing Portal

Proctored Assessment - Machine and Human Proctoring to ensure transparency and fairness of the Assessment

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