NTT Data Off Campus Drive 2024: NTT Data a leading company, is set to conduct an Off Campus Drive in 2024, offering opportunities for freshers to join as NTT Data Software Engineer for Bangalore/Pune/Hyderabad/Noida Office. A student with having bachelor’s degree in various disciplines can apply for the NTT Data off campus drive 2024. Interested and eligible candidates can read more details below.

About NTT Data:

NTT is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, color, sex, religion, national origin, disability, pregnancy, marital status, sexual orientation, gender reassignment, veteran status, or other protected category.

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NTT Data Off Campus 2024:

Company Name NTT Data
Post Name Software Engineer
Expected Salary up to ₹ 7 LPA *
Job Location Bangalore/Pune/Hyderabad/ Noida
Experience Freshers/Experience 
Batch 2024 and before
Website  NTT
Last date to apply Apply ASAP

NTT Data Off Campus Responsibilities:

  • Collaborate with cross-functional teams to understand business requirements and identify opportunities for machine learning techniques.
  • Analyze and evaluate existing systems and processes to identify areas where machine learning can be leveraged to improve efficiency, accuracy, and decision-making.
  • Work with engineering-leads to design and develop machine learning models and algorithms to solve complex business problems, such as recommendation systems and computer vision models.
  • Collect, clean, and preprocess (label and annotate) data from various sources to train machine learning models.
  • Train, validate, and fine-tune machine learning models using appropriate algorithms and techniques.
  • Collaborate with data engineers and software developers to integrate machine learning models into existing systems and new applications.
  • Conduct thorough testing and validation of machine learning solutions to ensure their accuracy, reliability, and scalability.
  • Monitor and evaluate the performance of deployed machine learning models, making necessary adjustments and improvements as needed.

NTT Data Off Campus Eligibility Criteria:

  • Bachelor’s degree in Computer Science, AI&ML, Data Science, or a related field

Preferred skill:

  • Proven experience in creating training data sets, labeling and annotating data sets for Machine Learning projects.
  • Strong understanding of machine learning algorithms, techniques, and frameworks.
  • Proficiency in Python or similar programming language needed for Machine Learning.
  • Experience with machine learning libraries and frameworks, like TensorFlow or PyTorch..
  • Solid knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with any of cloud platforms like AWS or GCP, and experience deploying and managing models.
  • Strong analytical and problem-solving skills, with the ability to think critically and creatively to solve complex business problems.
  • Excellent communication and collaboration skills, with the ability to effectively convey technical concepts to non-technical stakeholders.

Click here for HR Interview Questions and Answers

NTT Data off Campus Selection Process:

The NTT Data selection process is a structured series of stages designed to identify and hire the most suitable candidates for various roles within the company. Here is an overview of the typical selection process:

  1. Online Application: The process begins with candidates submitting their applications through NTT DATA official careers website. It’s essential to provide accurate and comprehensive information on your resume and application.
  2. Resume Screening: The NTT DATA recruitment team reviews all incoming applications and resumes to assess whether candidates meet the basic qualifications and requirements for the position.
  3. Online Assessments: Depending on the role, candidates may be required to complete online assessments or tests to evaluate their technical skills, knowledge, and problem-solving abilities. These assessments can cover a wide range of topics, including coding, problem-solving, and domain-specific knowledge.
  4. Technical Interviews: For technical positions, candidates typically participate in one or more technical interviews. These interviews assess a candidate’s technical expertise, coding skills, problem-solving capabilities, and familiarity with Microsoft technologies.
  5. Reference Checks: NTT DATA may conduct reference checks to verify a candidate’s work history, qualifications, and suitability for the role.
  6. Offer: If a candidate successfully navigates all interview stages and reference checks, they will receive a formal job offer. The offer will include details such as compensation, benefits, and other terms of employment.
  7. Background Check: Candidates who accept the offer may undergo a background check as part of the final hiring process.
  8. Onboarding: After accepting the offer and completing all pre-employment checks, candidates will participate in NTT DATA onboarding process. This includes orientation, training, and integration into the team.

Please note that the specific details of the NTT Data selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process.

Why Join NTT Data?

  • Industry leading healthcare
  • Educational resources
  • Savings and investments
  • Maternity and paternity leave
  • Opportunities to network and connect

How to Apply for NTT Data Off Campus Drive 2024?

To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:

  1. Click on the “Apply here” button provided below. You will be redirected to the official career page.
  2. Click on “Apply”.
  3. If you have not registered before, create an account.
  4. After registration, log in and fill in the application form with all the necessary details.
  5. Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
  6. Verify that all the details entered are correct.
  7. Submit the application form after verification.

If you face any issues while applying. Do let us know in the comment section.


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Disclaimer: The recruitment information provided is for informational purposes only. It has been obtained from the official website of the organization, and we have no affiliation with the company. We do not provide any recruitment guarantees, The hiring process is to be conducted according to the official recruitment procedures of the company. There is no fee charged for providing this job information. For more details, please visit the Privacy Policy page.