Technical Skills

• Basic understanding of Artificial Intelligence (AI) and Machine Learning (ML).

• Good knowledge of Python programming.

• Familiarity with: NumPy ,Pandas, Scikit-learn, data preprocessing and feature engineering techniques, basic ML algorithms and model evaluation methods

• Understanding of NLP concepts and text processing.

• Basic knowledge of Generative AI concepts.

• Familiarity with Large Language Models (LLMs) such as GPT, Gemini, Claude, or open-source models.

• Basic understanding of Prompt Engineering.

• Exposure to AI frameworks/tools such as: LangChain , LlamaIndex ,OpenAI APIs or similar AI APIs

• Basic understanding of REST APIs and backend integration.

Soft Skills

• Strong analytical and problem-solving skills.

• Logical thinking and attention to detail.

• Strong communication and collaboration skills.

• Eagerness to learn and work on live projects.

Eligibility Criteria

• Recent graduates or final-year students pursuing

• Strong academic background with an interest in AI, ML, Data Science, or Generative AI.

• Willingness to work from the office in Nagpur.

What You Will Gain

• Hands-on experience working on real client projects.

• Exposure to AI/ML development, GenAI applications, and deployment workflows.

• Experience with LLMs, Prompt Engineering, and RAG architectures.

• Mentorship from experienced AI and Cloud engineers.

• Opportunity to work with modern AI tools and frameworks.

• Potential for full-time employment based on performance and project contribution.

Preferred Skills (Good to Have)

• Knowledge of Vector Databases (FAISS, ChromaDB, Pinecone).

• Experience with Git/GitHub.

• Understanding of Cloud platforms (AWS, Azure, or GCP).

• Exposure to Docker and deployment concepts.

• Participation in AI/ML projects, hackathons, or open-source contributions.