Experience in AI, machine learning, and data engineering *

Experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, or similar *

Expertise in data engineering, including building scalable data pipelines, ETL processes, and data storage systems *

Proficiency in Python and relevant libraries (e.g., Pandas, NumPy, Scikit-learn) *

Experience with cloud platforms, preferably IBM Cloud, and building cloud-based AI/data systems *

Experience working with Retrieval-Augmented Generation (RAG) systems, fine-tuning Large Language Models (LLMs), productionizing language models, and leveraging state-of-the-art models (Gemini 2.0 Flash, Sonnet 3.5, Grok 3 or any other based on relevant benchmarks for the business) *

Experience with Natural Language Processing (NLP) tools and libraries like SpaCy, NLTK and Hugging Face Transformers *

Experience with machine learning model deployment tools and Docker for containerization *