IBM Careers is Hiring Research Intern-AI for Up to 5.4 LPA! Even Freshers Can Apply!

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Considering applying for an AI research internship at IBM? As a leader in artificial intelligence research and development, IBM Careers offers exciting opportunities to work with cutting-edge technology. This beginner’s guide will walk you through everything you need to know, from learning about IBM Careers to nailing the application process.

About IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM Careers Recruitment

Company Website:

Job Role: Research Intern-AI

Qualification: BE / B. Tech / ME / M. Tech / PhD

Experience: Fresher ( 0 – 2 Years )

Batch: 2020 / 2021 / 2022 / 2023 / 2024

Salary: Up to 5.4 LPA (Expected)

Job Location:  Across India

Last Date: ASAP

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Job Description

IBM Careers Off Campus Drive For Fresher 2023 – IBM Careers hiring fresher graduates for Research Intern-AI – Team Member BE / B. Tech / PhD/ ME / M. Tech candidates can apply for this job. Detailed information about the application process is given below please scroll down the post.


IBM Careers Internship

Job Responsibilities

As an AI research intern, your responsibilities may include:

  • Conducting literature reviews to gain in-depth knowledge of the problem area
  • Collecting, cleaning and labeling datasets for training AI models
  • Developing and optimizing deep neural network architectures for tasks like classification, object detection, segmentation etc.
  • Building AI applications by leveraging libraries like TensorFlow and PyTorch
  • Testing and deploying AI models in cloud environments such as IBM Cloud
  • Performing error analysis, identifying model limitations and scope for improvement
  • Documenting your work in detail through technical blogs/reports
  • Presenting progress updates to your manager and team members
  • Publishing research papers to top AI conferences (optional)

You will be expected to be self-driven and proactive in your work while seeking guidance from your manager when required. Collaboration with full-time research scientists is a key aspect of this role.

IBM Careers Skills Required

  • Proficiency in Python programming
  • Strong grasp of computer science fundamentals like data structures and algorithms
  • Practical experience with AI and machine learning techniques – classification, regression, clustering, neural networks etc.
  • Working knowledge of deep learning frameworks like TensorFlow/PyTorch
  • Familiarity with AI model training, optimization, debugging, deployment and related concepts
  • Strong math skills including calculus, linear algebra, statistics and probability
  • Experience with tools like Git, Jupyter Notebooks, NumPy, Pandas, Containerization (Docker/Kubernetes/ Openshift) etc.

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Selection Process

IBM Careers selection process for Software Developer off-campus recruitment includes the following stages:

Online Application and Screening

Visit the IBM careers page and submit your application for the relevant job role along with your resume. The recruiting team screens all applications and shortlists candidates for the next round.

Online Assessment

Shortlisted applicants have to take an online screening test that evaluates their quantitative aptitude, data interpretation, statistics, and analytical reasoning skills. Candidates who clear the cut-off percentile move ahead.

Technical Interviews

This round involves 1-2 technical interviews focused on statistical modeling, data analytics, tools proficiency and machine learning concepts. Interviewers assess your technical knowledge, problem-solving ability and analytical approach.

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HR Interview

Candidates who successfully clear the technical interviews appear for a human resources interview. The HR round evaluates your overall job fitment, strengths-weaknesses, salary expectations and organizational culture alignment.

Final Selection

Candidates who clear all the previous interview rounds are made a final job offer based on interview performance, profile match, and business requirements. The offer letter includes compensation details, job location and joining date.

How to Apply For IBM Careers

If you are interested in IBM Careers off-campus recruitment drive, here is the application process to follow:

  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, please create an account.
  4. After registration, log in and fill out the application form with all the required 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.

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