4+years of experience in machine learning, deep learning, or Al research, With a focus on generative models.
Experience With generative models such as GANS (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E).
Understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMS).
Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applied to generative tasks.
Strong programming skills in python and familiarity with relevant libraries and frameworks.
proven experience in document detail extraction and feature engineering.
Proficiency in data processing and manipulation techniques.
Hands-on experience in building data applications using Streamlit or similar tools.