Exciting career opportunity ahead! IBM is hosting an off-campus drive to recruit talented freshers and young professionals for the Data Engineer – Machine Learning role. Go through the complete breakdown below regarding eligibility, core roles, operational responsibilities, and application details.
| Company | IBM |
|---|---|
| Category | IT |
| Job Type | Full Time |
| Location | Gurgaon |
| Experience | Freshers / Students (Internship) |
| Batch Eligible | 2025 / 2026 Batch |
| Course | B.E / B.Tech / M.Tech |
IBM is a global technology company that helps organizations solve complex business challenges through artificial intelligence, hybrid cloud, data analytics, automation, and enterprise software solutions. With operations in more than 170 countries, IBM partners with businesses across industries including banking, healthcare, retail, manufacturing, telecommunications, and government.
IBM's India development centers play a key role in designing innovative software products, cloud platforms, and AI-powered solutions. The company promotes continuous learning, innovation, and collaboration, giving employees opportunities to work on technologies that shape the future of digital transformation.
The expected salary for the Data Engineer – Machine Learning position at IBM will depend on your skills, qualifications, interview performance, and company compensation policies. Freshers selected for this role may also receive additional benefits such as performance incentives, health insurance, paid leave, training programs, and other employee benefits based on company policy.
As a Data Engineer – Machine Learning, you will help build and maintain scalable data pipelines that support analytics and machine learning applications. You will work with large datasets, ensure data quality, and prepare information that enables data scientists and software engineers to develop intelligent business solutions.
This role provides hands-on exposure to cloud technologies, big data frameworks, database systems, and machine learning workflows. You will collaborate with cross-functional teams to develop reliable, efficient, and secure data solutions that support enterprise applications.
The recruitment process may include:
The recruitment stages may vary depending on the business unit and project requirements.
Eligibles can apply for this drive online by clicking the link below. All upcoming interview details, exam schedules, and shortlisting updates will be sent directly to your registered email address.
👉 Click Here to Apply: IBM Official website
The Data Engineer – Machine Learning position at IBM offers valuable hands-on experience, structured learning, and opportunities to develop the knowledge and skills required for future career advancement.
Joining IBM as a Data Engineer – Machine Learning provides an excellent opportunity to work with modern technologies, experienced professionals, and real-world projects. It also helps fresh graduates build technical expertise and accelerate long-term career growth in the IT industry.
No. IBM is hiring freshers for this role. Candidates who meet the eligibility criteria and perform well during the selection process are encouraged to apply.
The salary package for the Data Engineer – Machine Learning role at IBM is based on company standards, candidate skills, qualifications, interview performance, and overall experience. Additional benefits may also be provided according to company policy.
This position is based in Gurgaon. Selected candidates should be willing to work from or relocate to Gurgaon. You can also explore more jobs in Gurgaon .
The selection process generally includes an online application, aptitude or technical assessment (if applicable), technical interview, HR interview, and final document verification. The exact process may vary depending on the company and role.
Eligible candidates can apply through the official recruitment portal of IBM. Simply scroll to the "How To Apply" section above and click the official application link to complete your registration.
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Expand your search by exploring active off-campus opportunities, specialized training domains, and regional hiring hubs tailored for the 2026 batch.