Google Generative AI Architect
2 weeks ago
Responsibilities :
Technical Leadership :
- Provide technical leadership in the design, development, and deployment of generative AI solutions.
- Stay abreast of the latest research and advancements in generative AI.
- Identify and evaluate new generative AI technologies and tools.
Architecture and Design :
- Design and develop scalable, reliable, and efficient architectures for generative AI systems.
- Select and integrate appropriate generative AI models and frameworks (e.g., transformers, GANs, diffusion models).
- Ensure the performance, security, and scalability of generative AI solutions.
Model Development and Training :
- Lead the development and training of state-of-the-art generative AI models.
- Optimize model performance and fine-tune models for specific tasks and domains.
- Implement responsible AI practices, including fairness, bias detection, and explainability.
Collaboration and Mentorship :
- Collaborate with researchers, engineers, and product managers across Google.
- Mentor and guide other engineers on generative AI best practices.
- Contribute to Google's AI community and thought leadership.
Qualifications :
- PhD or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Strong understanding of deep learning, natural language processing, and/or computer vision.
- Expertise in generative AI models and frameworks (e.g., transformers, GANs, diffusion models).
- Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, JAX).
- Experience with large-scale data processing and distributed systems.
- Excellent communication, interpersonal, and collaboration skills.
Preferred Qualifications :
- Experience with Google Cloud Platform (GCP) and its AI/ML services.
- Publications or patents in the field of generative AI.
- Contributions to open-source AI projects.
- Experience with AI ethics and responsible AI development.
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