AI Engineering Intern

Round 1: Online aptitude & coding test → Round 2: Technical interview (ML concepts, coding, project discussion) → Round 3: HR interview (fit, motivation, internship logistics)

Cars24 promotes a collaborative and data‑driven culture where engineers are encouraged to experiment and iterate quickly. Employees enjoy a mix of autonomy and mentorship, with regular knowledge‑sharing sessions and clear growth pathways. The company emphasizes work‑life balance through flexible timings and occasional remote work options.

Candidates typically face a timed online aptitude test followed by a technical interview focusing on Python coding, data structures, and basic machine‑learning concepts. The HR round assesses cultural fit and motivation. Preparation should include hands‑on projects, clear articulation of past work, and practicing problem‑solving under time pressure.

B.Tech / B.E. or M.Tech in Computer Science, Information Technology, Electronics & Communication, or related fields; minimum CGPA 6.5/10 (or equivalent); strong foundation in data structures, algorithms, and mathematics; no active backlogs; ability to work full‑time for 3–6 months; good communication skills.

Cars24 is one of India’s fastest‑growing online platforms for buying and selling pre‑owned cars. Founded in 2015, the company has built a robust ecosystem that includes end‑to‑end vehicle inspection, pricing algorithms, financing, and a nationwide logistics network. With a presence in over 200 cities and a valuation crossing $2 billion, Cars24 is constantly leveraging technology to make the used‑car market more transparent and efficient. The tech team works on large‑scale data pipelines, AI‑driven pricing models, and consumer‑facing mobile and web applications, offering a fertile ground for fresh talent to experiment and innovate. The AI Engineering Intern role is designed for candidates who are passionate about machine learning and want to apply their knowledge to real‑world problems. As an intern, you will be embedded within the AI product team, collaborating with senior engineers, data scientists, and product managers. You will get hands‑on exposure to the full lifecycle of AI solutions – from data collection and preprocessing, through model development and evaluation, to deployment and monitoring in production. The internship typically spans 3 to 6+ months, providing ample time to contribute meaningfully to ongoing projects. **Key Responsibilities** 1. Assist in designing, developing, and testing AI‑powered features for Cars24’s web and mobile platforms. 2. Prepare, clean, and explore large datasets to support model training and validation. 3. Conduct experiments with different machine‑learning algorithms and document results. 4. Integrate trained models into backend services using APIs and micro‑service architecture. 5. Write clean, modular Python code and contribute to code reviews. 6. Debug and troubleshoot issues in data pipelines and model inference. 7. Collaborate with cross‑functional teams to translate business requirements into technical specifications. 8. Maintain documentation of experiments, model performance metrics, and deployment procedures. 9. Stay updated with the latest AI research and suggest improvements to existing solutions. 10. Participate in weekly sprint meetings and present progress to stakeholders. **Tech Stack**: Python, PyTorch/TensorFlow, Scikit‑learn, SQL, RESTful APIs, Git, Docker, Linux, Jupyter notebooks. **Growth Path**: Successful interns may be offered a full‑time position as a Machine Learning Engineer or Data Scientist, with clear career ladders that include senior engineering roles, lead AI architect positions, and product ownership opportunities. **Why Join Cars24?** The company offers a fast‑paced environment where interns can see the impact of their work on millions of users. You will work alongside seasoned engineers, gain exposure to end‑to‑end AI product development, and benefit from mentorship programs. Moreover, Cars24’s culture encourages curiosity, continuous learning, and ownership, making it an ideal launchpad for a career in AI engineering.