AI Solutions Intern

Park+ interviews usually consist of three rounds: a technical interview that probes AI fundamentals, LLM usage, and Python coding; a coding challenge (live or take‑home) that tests algorithmic thinking; and an HR round that evaluates cultural fit and communication. The difficulty is moderate to high, with emphasis on practical problem‑solving and clear articulation of ideas.

Park+ promotes a dynamic, collaborative environment where innovation is rewarded and employees are encouraged to experiment with new ideas. The company offers flexible working hours, regular knowledge‑sharing sessions, and a balanced approach to work‑life integration.

Eligible candidates must be pursuing a B.Tech/B.E., M.Tech, BCA, MCA, or related degree with a minimum cumulative CGPA of 6.5/10 (or 60%). Candidates from Computer Science, Information Technology, Electronics, or related engineering streams are preferred. Open to students graduating in 2025, 2026, or 2027. No active backlogs are allowed at the time of joining; a maximum of one backlog in the previous semester is acceptable if cleared before the internship start date. Candidates must be legally authorized to work in India and be willing to work full‑time from the Gurugram office for six months.

Round 1: Technical interview focusing on AI concepts and Python coding → Round 2: Live coding challenge or take‑home assignment → Round 3: HR interview assessing cultural fit and communication skills

Park+ is a fast‑growing technology platform that focuses on intelligent mobility solutions, smart parking, and data‑driven services for urban commuters. Founded in 2015, the company has built a robust ecosystem of sensors, mobile applications, and cloud analytics that help cities and private operators optimize parking space utilization, reduce traffic congestion, and improve user experience. With a presence in more than 30 Indian cities and a rapidly expanding international footprint, Park+ is known for its culture of rapid experimentation, cross‑functional collaboration, and a strong emphasis on leveraging artificial intelligence to solve real‑world problems. The AI Solutions Intern role is designed for curious builders who love to experiment with large language models (LLMs), automation tools, and AI‑driven workflows. Over a six‑month, full‑time internship based out of the Gurugram office, the intern will work side‑by‑side with senior AI engineers, product managers, and data scientists to design, prototype, and deploy AI solutions that address concrete business challenges such as dynamic pricing, demand forecasting, and personalized user recommendations. The internship offers a clear pathway to a pre‑placement offer (PPO) for high‑performing candidates, making it an attractive springboard for a career in AI engineering. **Key Responsibilities** 1. Design, fine‑tune, and deploy LLM‑based models (e.g., OpenAI GPT, Anthropic Claude, Google Gemini) for tasks like text summarisation, intent detection, and chatbot interactions. 2. Build end‑to‑end automation pipelines that integrate AI models with existing Park+ APIs and micro‑services. 3. Collaborate with product teams to translate business problems into AI‑driven solutions, drafting functional specifications and success metrics. 4. Conduct data preprocessing, feature engineering, and exploratory analysis to feed high‑quality inputs into models. 5. Implement monitoring and logging mechanisms to track model performance, latency, and drift in production. 6. Write clean, modular Python code and maintain version control using Git. 7. Document experiments, results, and lessons learned in internal knowledge bases. 8. Present findings and prototype demos to stakeholders, incorporating feedback for iterative improvement. 9. Stay updated with the latest research in LLMs, prompt engineering, and AI ethics, and propose innovative ideas for product enhancement. 10. Participate in code reviews and team brainstorming sessions to foster a collaborative learning environment. **Tech Stack**: Python, PyTorch/TensorFlow, LangChain, FastAPI, Docker, Kubernetes, Git, AWS/GCP, Park+ internal APIs, OpenAI/Claude/Gemini APIs, SQL/NoSQL databases. **Growth Path**: Successful interns may receive a full‑time PPO as an AI Engineer or Data Scientist, with opportunities to lead larger AI projects, mentor future interns, and contribute to the company’s long‑term AI strategy. **Why Join Park+?** The internship offers hands‑on exposure to cutting‑edge LLM technologies, a supportive mentorship model, and the chance to impact products used by millions of commuters daily. The fast‑paced environment encourages rapid skill acquisition, while the company’s commitment to innovation ensures that interns work on projects that matter.