Data Scientist

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. 3+ years of professional experience. Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, LangChain, and Hugging Face Transformers. Experience with NLP, LLM fine-tuning, and retrieval-based systems. Knowledge of prompt engineering techniques, LLM jailbreak methods and AI Agents. Understanding of traditional and modern machine learning algorithms, including deep learning architectures. Familiarity with cloud platforms such as AWS, GCP, or Azure for AI/ML deployments. Basic understanding of data engineering, ETL pipelines, and model deployment.

Develop, fine-tune, and optimize Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. Implement AI Agents capable of decision-making and interactive learning. Research and experiment with various prompt engineering techniques to improve model performance and accuracy. Build and maintain machine learning pipelines for AI/ML models in production environments. Collaborate with software engineers and data engineers to integrate AI models into scalable applications. Analyze and interpret model outputs to refine algorithms and improve performance. Stay updated on the latest AI and ML research and contribute to internal knowledge-sharing initiatives.