
Data Scientist
4 semanas atrás
- 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 AI 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 AI 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 AI Platform)
- Mid-Senior level
- Contract
- Information Technology
- IT Services and IT Consulting
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