AI Intern

Swiggy’s interview process usually starts with a timed online aptitude test, followed by a technical round focusing on machine learning concepts, Python coding, and case‑study discussions. The final HR round assesses cultural fit, communication skills, and motivation. Candidates should be prepared with clear explanations of past projects and a solid grasp of core ML algorithms.

Round 1: Online aptitude test (quantitative, logical reasoning, and basic programming) → Round 2: Technical interview (ML concepts, coding, case studies) → Round 3: HR interview (fitment, motivation, and internship expectations)

Swiggy promotes a fast‑paced, data‑driven work culture where experimentation is encouraged and failures are treated as learning opportunities. Employees benefit from clear growth tracks, mentorship programs, and a collaborative environment that balances high impact work with flexibility.

Graduating B.Tech/B.E., B.Sc., B.Com, or integrated MSc in Computer Science, Information Technology, Data Science, Statistics, or related fields; Minimum 60% aggregate or CGPA 6.5/10; Batch 2025, 2026, or 2027; No active backlogs at the time of joining; Freshers eligible.

Swiggy, founded in 2014, has rapidly become India’s leading online food ordering and delivery platform, connecting millions of customers with a vast network of restaurants across more than 500 cities. The company’s mission is to make food ordering effortless and reliable, leveraging cutting‑edge technology to optimise logistics, enhance user experience, and drive operational efficiency. With a strong data‑centric culture, Swiggy invests heavily in AI and machine learning to predict demand, personalise recommendations, and streamline delivery routes, making it an exciting playground for aspiring data scientists and AI engineers. As an AI Intern, you will join a high‑impact team that works closely with product, engineering, and operations to turn raw data into actionable insights. You will be mentored by senior data scientists and will get hands‑on experience building models that directly influence business decisions. The internship is fully remote, offering flexibility while still providing exposure to real‑world problems at scale. You will be expected to collaborate across functions, present findings to stakeholders, and contribute to the end‑to‑end lifecycle of AI solutions—from data collection to model deployment. Key responsibilities include: 1. Collect, clean, and preprocess large datasets from Swiggy’s operational and user‑behavior logs. 2. Conduct exploratory data analysis to uncover trends, patterns, and anomalies. 3. Build and evaluate predictive models (e.g., demand forecasting, churn prediction) using machine learning techniques. 4. Develop data‑driven recommendations for product and operational improvements. 5. Create visual dashboards and reports to communicate insights to cross‑functional stakeholders. 6. Assist in A/B testing design and analysis to measure the impact of AI‑powered features. 7. Participate in strategy brainstorming sessions, providing quantitative support for decision‑making. 8. Document methodology, code, and findings in a clear, reproducible manner. 9. Stay updated with the latest AI research and suggest innovative applications relevant to Swiggy’s business. 10. Collaborate with the engineering team to prototype and deploy models in a production environment. The tech stack typically includes Python, Pandas, NumPy, Scikit‑learn, TensorFlow/PyTorch, SQL, and visualization tools like Tableau or PowerBI. Exposure to cloud platforms such as AWS or GCP is a plus. Successful interns often transition to full‑time roles as Data Scientists or Machine Learning Engineers, with clear growth paths that include ownership of larger projects, mentorship responsibilities, and opportunities to lead AI initiatives across the organization. Joining Swiggy offers the chance to work on high‑volume, real‑time data, learn from industry experts, and contribute to a product used by millions daily, making it an ideal launchpad for a career in AI.