Requirements:

• 1–3 years of experience in AI/ML or relevant hands-on projects
• Strong programming fundamentals in Python
• Familiarity with PyTorch, TensorFlow, or Scikit-learn
• Basic understanding of LLM concepts and prompt engineering
• Exposure to computer vision fundamentals
• Understanding of data preprocessing, evaluation, and model validation techniques
• Exposure to Hugging Face, LangChain, or OpenAI APIs
• Familiarity with RAG (Retrieval-Augmented Generation) concepts
• Exposure to cloud-based AI environments
• Academic or practical AI project experience
• Strong learning mindset and willingness to grow
• Willingness to experiment under guidance
• Structured and clean implementation approach
• Ability to collaborate effectively with cross-functional teams

Responsibilities:

• Assist in building LLM-based applications such as chatbots, RAG systems, and AI assistants
• Work on data preprocessing and model training pipelines
• Implement model inference pipelines and integrate AI APIs
• Assist in fine-tuning and evaluating AI/ML models
• Work with embeddings and vector databases
• Monitor model outputs and support performance optimization
• Document AI workflows, experiments, and implementation processes