Generative AI Architect

Primary skills
• 10+ years of experience in the field of artificial intelligence, with a focus on designing, developing, and implementing generative AI models and systems
• Experience in architecting and implementing end-to-end generative AI solutions, including data acquisition, preprocessing, model training, and deployment
• Solid experience in designing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs
• Extensive knowledge and understanding of large language models and their impact on generative AI, including considerations such as model size, computational requirements, and fine-tuning techniques
• Preferred to have good understanding of GPT models, DALL-E and their applications
• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras, with a strong understanding of neural networks, architectures, and optimization techniques
• Sound knowledge of ANN, LSTM, Encoder models, Transformers and Bert
• Proficiency in programming languages such as Python, along with experience in deep learning frameworks like TensorFlow or PyTorch
• Solid understanding of neural networks, deep learning architectures, and optimization techniques
• Must have designed at least 2 end-to-end generative AI projects in real-world applications
• Excellent communication skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.
Secondary skills
• Leadership skills and the ability to provide technical guidance, mentorship, and thought leadership in generative AI architecture
• Familiarity with cloud platforms in GCP, and experience in leveraging distributed computing for large-scale model training and deployment
• Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face
• Knowledge of software development methodologies, such as Agile or Scrum