AIML Incubator Internship

IQVIA’s interview process typically starts with a timed online assessment focusing on aptitude and coding. Successful candidates move to a technical interview where interviewers probe AI/ML fundamentals, project experience and problem‑solving ability. The final HR round assesses cultural fit, communication skills and motivation. Overall difficulty is moderate to high, so thorough preparation on generative AI concepts and coding practice is recommended.

Round 1: Online aptitude & coding assessment → Round 2: Technical interview (AI/ML concepts, projects, coding) → Round 3: HR interview (fit, communication, motivation)

IQVIA promotes a learning‑first culture where employees are encouraged to experiment and share knowledge. The company offers structured career ladders, regular upskilling programs and a healthy work‑life balance, especially in its Indian offices where collaboration is emphasized.

• Undergraduate (B.Tech/B.E) or postgraduate (M.Tech/M.Sc) students in Computer Science, Electronics, Information Technology or related streams. • Minimum CGPA/percentage of 60% (or equivalent). • Batch graduating between 2024‑2027. • No active backlogs at the time of application. • Strong interest in AI/ML, generative models and cloud technologies.

IQVIA is a global leader in clinical research services, commercial insights and healthcare intelligence. With a presence in more than 100 countries, the company helps life‑science organisations accelerate drug development, improve patient outcomes and drive market success. In India, IQVIA combines deep domain expertise with cutting‑edge data analytics to support pharma, biotech and healthcare providers. The firm’s culture is built around curiosity, collaboration and a relentless focus on innovation, making it an attractive destination for fresh talent eager to make a real impact in the health‑tech space. The AIML Incubator Internship is a 12‑month full‑time program based out of the Kochi office. Interns will work on real‑world problems using generative AI, large language models (LLMs), diffusion models and audio/video synthesis tools. The role is designed for self‑motivated students who love experimenting with the latest AI research, building prototypes, and delivering end‑to‑end solutions that can be deployed on cloud platforms. Throughout the internship, participants will receive mentorship from senior data scientists and have the opportunity to present their work to cross‑functional teams. **Key Responsibilities** 1. Conduct research on state‑of‑the‑art generative AI models and evaluate their suitability for business use cases. 2. Build and fine‑tune LLMs, diffusion models, and multimodal synthesis pipelines. 3. Design Retrieval‑Augmented Generation (RAG) workflows to improve contextual relevance of model outputs. 4. Apply prompt‑engineering techniques to optimise model behaviour across diverse tasks. 5. Develop scalable AI‑driven solutions and integrate them with existing business processes. 6. Create end‑to‑end deployment pipelines using Azure, AWS or GCP. 7. Benchmark AI/ML services across major cloud providers for performance, cost and scalability. 8. Collaborate with product owners, engineers and domain experts to validate prototypes. 9. Document experiments, results and best practices for knowledge sharing. 10. Present demos and technical findings to senior leadership. **Tech Stack**: Python, PyTorch, TensorFlow, LangChain, Azure AI Services, AWS SageMaker, GCP Vertex AI, Docker, Kubernetes, Git, REST APIs. **Growth Path**: High‑performing interns may be offered a full‑time role as an AI Engineer, Data Scientist or Research Engineer. The program provides exposure to end‑to‑end AI product development, positioning candidates for rapid career progression within IQVIA’s global AI labs. **Why Join IQVIA?** The internship offers hands‑on experience with cutting‑edge generative AI, mentorship from industry experts, and the chance to contribute to healthcare innovations that affect millions of lives. The collaborative Kochi office fosters in‑person learning, while the company’s strong emphasis on continuous upskilling ensures interns stay ahead of the technology curve.