OpenOpportunity Sourced Jobs — Pune
Full Time · On Site · Entry Level
Role: Data Science & Machine Learning - Other | Department: Data Science & Analytics | Industry: Financial Services | Education: UG: Any Graduate PG: Any Postgraduate We are looking for a motivated Generative AI Intern with a strong foundation in Python and Generative AI concepts. The intern will work closely with our technical team to build, experiment, and optimize GenAI-powered solutions, including large language models (LLMs), prompt engineering, and AI-driven applications. This role is ideal for someone eager to gain hands-on experience with cutting-edge AI technologies in a real-world environment. Key Responsibilities Assist in developing and testing Generative AI applications using Python Work with Large Language Models (LLMs) such as GPT-style models Implement and experiment with prompt engineering techniques Support data preprocessing, model fine-tuning, and evaluation Build prototypes, scripts, and proof-of-concept AI solutions Collaborate with team members to integrate GenAI features into applications Document learnings, experiments, and code clearly Required Skills & Qualifications Strong knowledge of Python programming Basic understanding of Generative AI and LLMs Familiarity with concepts like: Prompt engineering Transformers (basic understanding) Text generation, summarization, or chatbots Experience with libraries or tools such as: OpenAI APIs / Hugging Face (preferred) NumPy, Pandas (basic level) Good problem-solving and analytical skills Ability to learn quickly and work independently Note: This is a genuine, well-specified internship at a real, well-reviewed employer (2K Naukri reviews). The one issue: the Job Title is "Generative AI Intern," yet Naukri's own Employment Type field reads "Full Time, Permanent" -- the same intern-filed-as-permanent contradiction documented repeatedly elsewhere in this project.
data preprocessing, python, transformers, generative ai, ai solutions, ai, numpy, analytical skills, pandas, apis, ai technologies, programming, python programming, language models