Data Science Proficiency: Demonstrable experience in data manipulation and analysis using Python and Scala. Proficiency with libraries such as Pandas, NumPy, TensorFlow, or Scikit-learn is essential. Experience with Jupyter Notebooks and equivalent tools such as Apache Zeppelin or Google Colab for interactive data exploration and visualization is highly valued.
Generative AI and Large Language Models: Exposure to or a keen interest in generative AI, especially with large language models such as GPT or BERT. Understanding of model training, fine-tuning, and deployment processes in a production environment.
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