IT

The IT category requires skills in "Strong proficiency in Python programming and related libraries (e.g., Pandas, NumPy, scikit-learn) Experience in implementing and deploying machine learning models, including large language models (e.g., GPT, BERT) Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers Experience with data preprocessing, feature engineering, and model evaluation techniques Proficiency in working with large-scale datasets and SQL Knowledge of MLOps practices and tools for continuous integration and deployment of machine learning models Experience in designing and implementing data integration and validation frameworks Strong problem-solving skills and attention to detail Excellent communication skills to collaborate with cross-functional teams and present technical concepts to non-technical stakeholders Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies".