Gen AI Architect

Gen AI Architect

• Experience with Generative AI models (e.g., GPT, BERT, DALL-E) and frameworks (e.g., Hugging Face Transformers, OpenAI GPT-3).
• Knowledge of fine-tuning GenAI models for specific tasks and industries.
• Ability to design and implement GenAI solutions for various applications such as text generation, image generation, and conversational AI.
• Familiarity with techniques for training and deploying GenAI models.
• Experience in leveraging GenAI for tasks such as automated content creation and data augmentation.
• Strong programming skills in languages such as Python, R, or Scala.
• Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).