IBM – Associate Data Scientist / AI Engineer (India)
IBM is hiring for the role of Associate Data Scientist / AI Engineer. This opportunity is ideal for freshers and early-career professionals who want to build a strong career in Artificial Intelligence, Machine Learning, and Data Science.
In this post, you will find complete details about the job role, responsibilities, required skills, salary expectations, resume tips, interview preparation, and how to apply.
About IBM
IBM (International Business Machines) is a global technology leader known for innovation in cloud computing, artificial intelligence, cybersecurity, and enterprise software solutions. IBM operates in more than 170 countries and works with some of the world's largest organizations.
Working at IBM offers exposure to enterprise-level projects, strong learning opportunities, and long-term career growth.
Job Overview
| Category | Details |
|---|---|
| Role | Associate Data Scientist / AI Engineer |
| Company | IBM |
| Location | India (Multiple Locations) |
| Experience | 0 – 2 Years (Freshers Eligible) |
| Education | B.E / B.Tech / B.Sc / BCA / M.E / M.Tech / MCA |
| Employment Type | Full-Time |
| Functional Area | Data Science | Artificial Intelligence | Machine Learning |
Core Responsibilities
- Work on data analysis, data cleaning, and preprocessing tasks.
- Build and test machine learning models.
- Assist in developing AI-based solutions.
- Collaborate with cross-functional technical teams.
- Prepare reports, dashboards, and documentation.
- Participate in model evaluation and optimization.
- Support deployment of ML/AI models in production.
Skills & Qualifications
- Basic knowledge of Python or R programming.
- Understanding of Machine Learning concepts.
- Familiarity with data structures and algorithms.
- Knowledge of SQL and databases is a plus.
- Understanding of statistics and probability.
- Good communication and problem-solving skills.
Company Culture & Work Environment
IBM promotes innovation, inclusion, and continuous learning. You can expect:
- Learning-driven culture: access to IBM learning platforms and certifications.
- Global projects: work with international clients.
- Mentorship: strong guidance from senior technical leaders.
- Diverse workplace: inclusive and collaborative environment.
Salary Expectations (Estimated)
| Component | Estimated Range |
|---|---|
| CTC (Annual) | ₹4 LPA – ₹9 LPA (Approx.) |
| Benefits | Health Insurance, Learning Budget, Bonuses, Paid Leaves |
Note: Actual salary varies based on experience, location, and interview performance.
How to Prepare Your Resume for This Role
- Keep your resume clear and limited to 1–2 pages.
- Highlight Python/ML projects and certifications.
- Showcase internships, Kaggle projects, or GitHub work.
- Mention tools like NumPy, Pandas, TensorFlow, or Scikit-learn.
Interview Preparation – What to Study
Technical Topics
- Machine Learning algorithms (Linear Regression, Decision Trees, KNN).
- Python basics and data handling libraries.
- SQL queries and database concepts.
- Basic statistics and probability.
Common Interview Questions
- What is Machine Learning?
- Difference between supervised and unsupervised learning?
- Explain overfitting and underfitting.
- What are precision and recall?
Extra Tips for Freshers
- Practice small ML projects.
- Build a GitHub portfolio.
- Participate in Kaggle competitions.
- Stay active on LinkedIn.
Selection Process
| Stage | Description |
|---|---|
| Online Application | Apply through IBM careers portal. |
| Online Assessment | Aptitude / Technical Test. |
| Technical Interview | ML, Python, and problem-solving. |
| HR Interview | Communication and culture fit. |
Frequently Asked Questions (FAQ)
Is this role open to freshers?
Yes, freshers and candidates with up to 2 years of experience can apply.
Is work from home available?
Work mode depends on project and business requirements.
How to Apply
- Open the official IBM job link.
- Click on the Apply button.
- Create or log in to your IBM careers account.
- Fill the application form.
- Upload your updated resume.
- Submit and wait for confirmation.
Final Thoughts
This IBM Associate Data Scientist / AI Engineer role is an excellent opportunity to start a career in AI and Data Science. Focus on fundamentals, build projects, and apply early.
Disclaimer
This blog post is for informational purposes only. This website is not affiliated with IBM. Always refer to the official IBM careers page for accurate and updated information.
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