Position Title: Data ScientistPosition Summary: Programming proficiency in Python and R, with experience in other languages (e.g., SQL) for data manipulation and retrievalProficient in data wrangling and preprocessing with tools like Pandas, NumPy, and experience in managing both structured and unstructured dataHands-on experience with large language models (LLMs) and understanding of advanced NLP techniques, such as text generation, summarization, and sentiment analysisExpertise in Generative Al models (e.g., GANS, VAES, and transformer-based models like GPT, BERT) with hands-on experience in training, fine-tuning, and deploying these modelsExperience with fine-tuning pretrained models and applying transfer learning techniques to improve generative model performanceStrong proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-LearnUnderstanding of evaluation metrics and methods for Generative Al models and data-driven insightsFamiliarity with cloud platforms (AWS, GCP, Azure) and their services for AI/ML, including model deployment and monitoring (e.g., AWS SageMaker, Google Al Platform)