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REQUIREMENT_ID_53 β€’ 3-DAY_ACTIVE_POLICY

AI/ML Intern

Company
Company careers.wipro.com
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 15,000 per month
Location
Location Gurgaon
Posted Date
Posted Date Today
Python Machine Learning Data Preprocessing SQL Pandas NumPy Scikit-learn TensorFlow PyTorch Apache Airflow AWS Azure Git Docker
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Aptitude Practice Questions & Mock Tests Open Resource β†—
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
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Company-Specific Interview Preparation Corner Open Resource β†—
Detailed interview experiences, exam formats, and previous test questions for careers.wipro.com and tech roles.
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Technical Placement Cheat Sheets & Question Bank Open Resource β†—
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
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Algorithm, DSA & Live Code Debugger Practice Open Resource β†—
Hands-on problem sets to improve coding speed and step-by-step memory debugging.

Graduates (B.Tech/B.E., M.Tech, B.Sc.) in Computer Science, Information Technology, Electronics, Electrical, or related streams. Minimum aggregate 60% (or CGPA 6.0/10). Final year students of the 2025‑2026 batch eligible. No active backlogs at the time of joining. Must have a basic understanding of programming and machine‑learning concepts.

Wipro Limited, a global leader in information technology, consulting and business process services, has a rich legacy of more than six decades. Headquartered in Bangalore, the company operates in over 50 countries and serves Fortune 500 clients across industries such as banking, healthcare, retail, and manufacturing. Wipro’s commitment to innovation is evident through its investments in emerging technologies like artificial intelligence, cloud computing, and Internet of Things, making it a preferred destination for tech‑savvy graduates who want to work on cutting‑edge projects. The AI/ML Intern role is designed for fresh engineering graduates who are eager to translate theoretical knowledge into real‑world solutions. As an intern, you will work closely with senior data scientists and solution architects to design, develop, and deploy machine‑learning models that address concrete business challenges. You will get hands‑on exposure to the entire data pipeline – from data ingestion and cleaning to model training, evaluation, and production deployment on cloud platforms such as AWS or Azure. Key responsibilities: 1. Assist in designing, developing, and deploying machine‑learning models for diverse business problems. 2. Clean, preprocess, and analyze large datasets to ensure high‑quality inputs for model training. 3. Collaborate with senior engineers to understand project requirements and contribute to solution architecture. 4. Research and implement state‑of‑the‑art AI/ML algorithms and techniques. 5. Write clean, modular code and participate in code‑review sessions. 6. Document methodologies, experiments, and results for internal knowledge sharing. 7. Build and maintain data pipelines using tools such as Apache Airflow or similar. 8. Conduct performance evaluation of models and suggest improvements. 9. Stay updated with the latest trends in AI/ML and share insights with the team. 10. Support the deployment of models on cloud platforms like AWS or Azure. Tech stack commonly used includes Python, Pandas, NumPy, Scikit‑learn, TensorFlow/PyTorch, SQL, Apache Airflow, Docker, Git, and cloud services (AWS, Azure). The internship offers a clear growth path – high‑performing interns are often considered for full‑time Analyst or Associate positions, with opportunities to specialize in data engineering, AI research, or solution architecture. Joining Wipro provides exposure to large‑scale enterprise projects, mentorship from industry veterans, and a collaborative culture that encourages continuous learning. The experience gained here can serve as a strong foundation for a career in AI/ML, data science, or broader technology consulting.

careers.wipro.com β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
careers.wipro.com Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for careers.wipro.com and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Python, Machine Learning, Data Preprocessing, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Apache Airflow, AWS, Azure, Git, Docker) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
careers.wipro.com Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join careers.wipro.com as a AI/ML Intern?
Preparation Tip: Highlight careers.wipro.com's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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