Should have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Should have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
Should be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
Should have strong knowledge of data structures, algorithms, and software engineering principles.
Should be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.
Should have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
Should be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.
Should have knowledge of software development methodologies, such as Agile or Scrum.
Should possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
Should have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
Should possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment