Senior AI Data Scientist

You should have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. You must possess solid experience in developing and implementing generative AI models, with a deep understanding of techniques like GPT, VAE, and GANs. Proficiency in Python and experience with machine learning libraries like TensorFlow, PyTorch, or Keras is required. Strong knowledge of data structures, algorithms, and software engineering principles is essential. Familiarity with cloud-based platforms such as AWS, GCP, or Azure is expected. Experience with natural language processing (NLP) techniques and tools like SpaCy, NLTK, or Hugging Face is necessary. Knowledge of data visualization tools and libraries such as Matplotlib, Seaborn, or Plotly is preferred. Understanding of software development methodologies like Agile or Scrum is important. Excellent problem-solving skills are a must, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills are required to effectively convey complex technical concepts to a diverse audience. A proactive mindset is essential, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.,