Junior AI Engineer

As a Junior AI Engineer, you will be part of a fast-moving team working on developing and integrating LLMs and Generative AI tools into real-world applications. You will contribute to model experimentation, fine-tuning, prompt engineering, and data preparation while growing your understanding of how these technologies power modern software systems. Key Responsibilities: - Work with LLMs (e.g., OpenAI, Hugging Face Transformers) to develop, fine-tune, and integrate models into products. - Design and test prompts for various tasks (prompt engineering) to improve model outputs. - Support development and deployment of generative AI applications (text, code, or image generation). - Write Python code to build ML/AI pipelines, evaluate model performance, and preprocess data. - Collaborate with data engineers to prepare and manage datasets used for training and evaluation. - Monitor and test model performance in production environments. - Document technical work, including models, experiments, and results. Required Qualifications: - Bachelors degree in Computer Science, Engineering, Data Science, or a related field. - 01 year of industry experience in AI/ML, or a strong academic or project portfolio. - Proficient in Python and libraries such as pandas, NumPy, scikit-learn, and matplotlib. - Basic understanding of machine learning workflows and model evaluation. - Exposure to LLMs (e.g., GPT, LLaMA, Mistral) through personal or academic projects. - Familiarity with Hugging Face Transformers or OpenAI API is a plus. - Basic understanding of data engineering concepts such as ETL, data cleaning, and pipeline orchestration.,