Position Title: Data Scientist
Position Summary:
Programming proficiency in Python and R, with experience in other languages (e.g., SQL) for data manipulation and retrieval
Proficient in data wrangling and preprocessing with tools like Pandas, NumPy, and experience in managing both structured and unstructured data
Hands-on experience with large language models (LLMs) and understanding of advanced NLP techniques, such as text generation, summarization, and sentiment analysis
Expertise 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 models
Experience with fine-tuning pretrained models and applying transfer learning techniques to improve generative model performance
Strong proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-Learn
Understanding of evaluation metrics and methods for Generative Al models and data-driven insights
Familiarity with cloud platforms (AWS, GCP, Azure) and their services for AI/ML, including model deployment and monitoring (e.g., AWS SageMaker, Google Al Platform)