GenAI Trainee

Batch: 2024/2025/2026. Key Responsibilities: - Collect, clean, preprocess, and analyze structured and unstructured data. - Build, train, evaluate, and optimize ML/DL models. - Work on Generative AI, LLMs, RAG, prompt engineering, and fine-tuning. - Develop AI solutions such as chatbots, virtual assistants, and content-generation applications. - Build Computer Vision solutions including object detection, classification, segmentation, tracking, and OCR. - Perform EDA, data visualization, and support AI data pipelines. - Integrate AI/ML models with web, mobile, and enterprise apps using APIs and microservices. - Assist with model deployment, monitoring, testing, debugging, and optimization. - Conduct PoCs and research emerging AI/ML technologies. - Follow Responsible AI, security, privacy, and compliance standards. Requirements: - Strong fundamentals in Python, ML, Deep Learning, and Data Structures. - Knowledge of GenAI, LLMs, RAG, Prompt Engineering, and Computer Vision. - Familiarity with TensorFlow, PyTorch, OpenCV, YOLO, or similar frameworks. - Understanding of EDA, preprocessing, feature engineering, model evaluation, APIs, Cloud, and Git.