AI/ML Intern

Round 1: Online Assessment (aptitude + coding) → Round 2: Technical Interview (ML concepts, projects, coding) → Round 3: HR Interview (fitment, communication, expectations)

Wipro promotes a learning‑first culture with structured mentorship programs, regular tech talks, and opportunities to work on global client projects. Employees enjoy a balanced work‑life environment, flexible work arrangements, and clear career progression pathways.

Wipro’s interview process typically starts with an online assessment focusing on quantitative aptitude, logical reasoning, and basic coding. The technical interview dives deep into data structures, algorithms, and core machine‑learning concepts, often asking candidates to discuss projects or solve a case study. The HR round assesses communication skills, cultural fit, and career aspirations. Preparing with mock tests and revisiting fundamentals helps candidates navigate the process smoothly.

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.