JOB DESCRIPTION

• Hands-on experience with large language models (LLMs) like GPT, LLaMA, Claude, or open-source alternatives.
• Experience with generative adversarial networks (GANs), variational autoencoders (VAEs), and diffusion models.
• Proficiency in deep learning frameworks (TensorFlow, PyTorch, JAX).
• Strong programming skills in Python, with experience in libraries such as Hugging Face Transformers, LangChain, OpenAI API, etc.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools for model deployment.
• Knowledge of data engineering tools (Spark, Airflow, Databricks) for handling large datasets.
• Familiarity with prompt engineering and fine-tuning of LLMs.
• Understanding of ethical AI principles and responsible AI practices.
• Experience with multimodal AI (text, image, video).
• Familiarity with reinforcement learning for AI model improvement (RLHF).