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Engaged Employer
IBM
4.1
based on 21.1k Reviews
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
Company Overview
Associated Companies
Company Locations
About IBM
Founded in1911 (113 yrs old)
India Employee Count1 Lakh+
Global Employee Count1 Lakh+
India HeadquartersBangalore / Bengaluru, Karnataka, India
Office Locations
Websiteibm.com
Primary Industry
Other Industries
IBM aspires to make a lasting, positive impact on the world by protecting the environment, advocating for inclusion, and fostering trust and transparency in both technology and business. Today’s IBM is more closely aligned with the needs of our clients. Our engagement model is simpler and more effective. And we have expanded our ecosystem by strengthening existing relationships and forging new, productive partnerships.
Today’s IBM is not simply a technology company. We are a problem-solving company and a convener of capability that brings together our colleagues, our clients, and our partners with a simple, open invitation: Let’s create. we have sharpened our focus on IBM’s unique ability to integrate technology and business expertise for our clients and our partners. Our portfolio is built around hybrid cloud and artificial intelligence (AI), the two most transformational technologies of our time.
Our go-to-market approach brings together the necessary software, consulting, and infrastructure our clients require, from across our expanding ecosystem of partners. They recognize technology as a source of competitive advantage, capable of addressing these immediate issues and future-proofing their businesses by increasing productivity, reducing costs, driving innovation, and fueling growth.
This is today’s IBM.
Mission: Our mission and purpose is to be a catalyst that makes the world work better. A catalyst is an agent of change. As catalysts, IBMers collaborate to release new energy. We forge partnerships and bring together powerful combinations of people and technology. We combine the methods of science with the dynamism business to do things neither could do on its own. We solve difficult problems and amplify the impact of our solutions with speed and scale. Our work is focused on the most mission-critical systems on the planet: electrical grids, airlines, mobile networks, banks, transportation systems, healthcare systems. These systems are more than just engines of economic growth. They are the systems that support modern society. In making them faster, more productive, and more secure, we don’t just make business work better, we make the world work better.
Vision: 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.
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IBM Subsidiaries
Daksh eServices
3.5
• 80 reviews
IBM Research
4.3
• 59 reviews
Merative
4.0
• 18 reviews
SPSS South Asia
2.9
• 9 reviews
TrellisSoft Inc.
3.9
• 7 reviews
Algorithmics
5.0
• 1 review
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AmbitionBox Best Places to Work in India Awards
Awards 2024
Awards 2022
Awards 2021
Best of the best, rated by employees
IBM won India’s Largest Employee Choice Awards in Mega Companies Category.
#6 Top Rated Mega Company
#3 Top Rated Company for Women
#1 Top Rated IT/ITES Company
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IBM Ratings
based on 21.1k reviews
Overall Rating
4.1/5
How AmbitionBox ratings work?
5
9.8k
4
6.5k
3
2.7k
2
881
1
1.3k
Category Ratings
4.1
Work-Life Balance
4.0
Job Security
4.0
Skill Development
4.0
Company Culture
3.8
Work Satisfaction
3.5
Salary & Benefits
3.2
Promotions/Appraisal
IBM is rated 4.1 out of 5 stars on AmbitionBox, based on 21.1k company reviews. This rating reflects a generally positive employee experience, indicating satisfaction with the company’s work culture, benefits, and career growth opportunities. AmbitionBox gathers authentic employee reviews and ratings, making it a trusted platform for job seekers and employees in India.
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Gender Based Ratings at IBM
based on 19.9k reviews
4.1
Rated by 6.5k Women
Rated 4.1 for Job Security and 4.0 for Work-Life Balance
4.1
Rated by 13.3k Men
Rated 4.1 for Work-Life Balance and 4.0 for Skill Development
Work Policy at IBM
based on 1.5k reviews in last 6 months
Hybrid
80%
Work from office
16%
Permanent work from home
4%
IBM Reviews
Top mentions in IBM Reviews
+ 5 more
Compare IBM with Similar Companies
Change Company | Change Company | Change Company | ||
|---|---|---|---|---|
Overall Rating | 4.1/5 based on 21.1k reviews | 3.7/5 based on 36.3k reviews | 3.7/5 based on 84k reviews | 3.7/5 based on 47.3k reviews |
Highly Rated for | Work-Life balance Job Security Skill development | Job Security Company culture Skill development | Job Security Work-Life balance | Job Security |
Critically Rated for | Promotion/Appraisals | Promotion/Appraisals Salary & Benefits | Promotion/Appraisals Salary & Benefits Work Satisfaction | Promotion/Appraisals Salary & Benefits |
Primary Work Policy | Hybrid 80% employees reported | Hybrid 82% employees reported | Work from office 81% employees reported | Hybrid 60% employees reported |
Rating by Women Employees | 4.1 Good rated by 6.5k women | 3.8 Good rated by 10.8k women | 3.8 Good rated by 24.2k women | 3.8 Good rated by 13.8k women |
Rating by Men Employees | 4.1 Good rated by 13.3k men | 3.7 Good rated by 22.9k men | 3.7 Good rated by 54.5k men | 3.7 Good rated by 31.2k men |
Job Security | 4.0 Good | 4.2 Good | 4.6 Excellent | 3.8 Good |
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IBM Salaries
3.5
rated by 21.1k employees for salariesApplication Developer
(11.8k salaries)
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₹5.6 L/yr - ₹23.8 L/yr
Software Engineer
(6.2k salaries)
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₹5 L/yr - ₹21.7 L/yr
Senior Software Engineer
(5.6k salaries)
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₹8 L/yr - ₹30 L/yr
Advisory System Analyst
(5.6k salaries)
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₹9.3 L/yr - ₹28.4 L/yr
Senior Systems Engineer
(5.1k salaries)
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₹5.6 L/yr - ₹21 L/yr
Software Developer
(4.7k salaries)
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₹8.8 L/yr - ₹27.8 L/yr
Associate Systems Engineer
(3.4k salaries)
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₹3 L/yr - ₹10.7 L/yr
Senior Consultant
(3.1k salaries)
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₹9 L/yr - ₹31 L/yr
Senior System Analyst
(2.8k salaries)
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₹13 L/yr - ₹32.5 L/yr
Specialist Testing
(2.8k salaries)
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₹2.6 L/yr - ₹19.9 L/yr
IBM Interview Questions
Interview questions by designation
Top interview questions and answers
Get interview-ready with top interview questions
Interview Process at IBM
based on 876 interviews in last 1 year
Interview Experience
4.2
Good
Difficulty level
Easy
21%
Moderate
74%
Hard
5%
People are getting interviews through
based on 1.5k IBM interviews
Job Portal
39%
Company Website
14%
Referral
12%
Campus Placement
10%
*25% candidates got the interview through other sources
High confidence
IBM Jobs
IBM News
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Big Tech is now all-in on AI agents
- Nearly every Big Tech company and many prominent language model startups have made significant investments in AI agents.
- Most tech giants have launched their own enterprise agent platforms to reduce labor costs and save time.
- Google, Microsoft, Salesforce, Amazon, and IBM are among the companies offering agentic AI solutions.
- The competition is intensifying, with a focus on multimodal computer use agents and the potential for trillions of dollars in enterprise value.
Medium | 17 Dec, 2024
YouTube is letting creators opt into allowing third-party AI training
- YouTube is rolling out a feature allowing creators to let third-party companies use their videos for AI training.
- The default setting is off, and creators have the option to enable this feature.
- Creators can pick and choose from a list of third-party companies or allow all companies to train on their videos.
- Companies like Adobe, Amazon, Apple, IBM, Microsoft, and OpenAI are among the initial list of partners.
The Verge | 17 Dec, 2024
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YouTube will now let creators opt into third-party AI training
- YouTube will allow creators to choose how third parties use their content to train AI models.
- Creators can opt into this feature through YouTube Studio and select authorized AI companies.
- Companies like Adobe, Apple, IBM, Microsoft, and Nvidia are among the initial list of authorized companies.
- The new feature aims to address concerns of unauthorized AI model training on creator's content.
TechCrunch | 16 Dec, 2024
Best Cryptos to Join for Long-Term Growth: A Must-Have List of Top 3 Coins for 2024
- Qubetics, Cardano, and Stellar are top cryptocurrencies for long-term growth.
- Qubetics ($TICS) is making waves with its presale stages, offering a unified framework for multiple networks.
- Cardano's scientific approach and commitment to scalability make it a solid choice.
- Stellar focuses on cross-border transactions and financial inclusion, with partnerships like IBM.
TechBullion | 16 Dec, 2024
Analyzing Fairness of Computer Vision and Natural Language Processing Models
- Machine learning (ML) algorithms raise ethical and social concerns due to potential biases and fairness issues.
- This study focuses on evaluating and improving the fairness of Computer Vision and Natural Language Processing (NLP) models applied to unstructured datasets.
- The study employed fairness libraries, Fairlearn by Microsoft and AIF360 by IBM, to address and mitigate biases in ML models.
- The research provides actionable recommendations for practitioners, emphasizing the importance of building equitable and responsible machine learning systems.
Arxiv | 16 Dec, 2024
Analyzing Fairness of Classification Machine Learning Model with Structured Dataset
- This study investigates the fairness of ML models applied to structured datasets in classification tasks, highlighting the potential for biased predictions to perpetuate systemic inequalities.
- Three fairness libraries: Fairlearn by Microsoft, AIF360 by IBM, and the What If Tool by Google were utilized to assess and mitigate biases in the ML models.
- The research aimed to compare the effectiveness of these libraries, analyze their strengths and limitations, and derive actionable insights for practitioners.
- The findings contribute to the ML fairness field by providing practical guidance for integrating fairness tools into real-world applications.
Arxiv | 16 Dec, 2024
The Rise of AI in 2025: Transforming Industries, Innovations, and Everyday Life.
- Generative AI has made significant breakthroughs in 2024, with tools like ChatGPT, MidJourney, and Bard transforming content creation and business interactions.
- AI is revolutionizing industries such as entertainment, healthcare, and biotechnology, enabling advancements in diagnostics, personalized medicine, and automation.
- However, the rise of AI also poses ethical and regulatory challenges, including bias, deepfake misuse, and data privacy concerns.
- Overall, AI is reshaping the world and offering growth opportunities, but its impact needs to be carefully navigated.
Medium | 15 Dec, 2024
IBM sees low-key adoption of AI in PHL
- Many companies in the Philippines are quietly adopting and investing in artificial intelligence (AI).
- Companies in the Philippines are focusing on creating tangible value through robust infrastructure, efficient operations, and skilled talent.
- 23% of AI investments by businesses in the Philippines next year will focus on customer experience, 18% on back-office business process automation, and 17% on employee experience and productivity.
- Challenges with AI in the Philippines include limited use cases, difficulty in integration and scaling, and the lack of an AI strategy.
Bworldonline | 15 Dec, 2024
The Quantum Revolution is Here: How Beginners Can Prepare for It
- Quantum computing is the future and beginners should pay attention to it.
- To get started, it is important to have a solid foundation in classical programming.
- Beginner-friendly resources and online courses can help in understanding quantum mechanics.
- Practical problems, simulations, and hackathons can be useful for hands-on experience in quantum programming.
- Major companies like Google, IBM, and Microsoft are making advancements in quantum computing.
- Anyone with curiosity and willingness to learn can become a part of the quantum revolution.
Medium | 14 Dec, 2024
How to analyze the AI model’s reliability before deploying it.
- IBM and MIT researchers have developed a technique to measure the reliability of general purpose AI models before deployment.
- The technique involves assessing the consistency of results among slightly different models using an algorithm.
Medium | 14 Dec, 2024
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