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Generative AI Architect
3 months ago
Generative AI Architect
Job Overview:
We are seeking an experienced and visionary Generative AI Architect to lead the design and implementation of cutting-edge generative AI solutions. The ideal candidate will have a deep understanding of AI architectures, extensive experience in developing generative models, and a proven track record of integrating these models into large-scale applications. As a Generative AI Architect, you will play a critical role in shaping our AI strategy, driving innovation, and ensuring the successful deployment of generative AI technologies across the organization.
Key Responsibilities:
? Architectural Design: Lead the design and development of robust, scalable, and efficient AI architectures for generative models. Ensure alignment with business goals and technical requirements.
? Strategy and Roadmap: Develop and maintain the generative AI strategy and roadmap. Identify opportunities for leveraging generative AI to create value and drive business growth.
? Model Development and Deployment: Oversee the end-to-end lifecycle of generative models, including data collection, model training, evaluation, optimization, and deployment. Ensure seamless integration with existing systems.
? Innovation and Research: Stay at the forefront of generative AI research and advancements. Propose and implement innovative solutions to complex problems and lead the exploration of new applications for generative AI.
? Collaboration and Leadership: Collaborate with cross-functional teams, including data scientists, machine learning engineers, software developers, and business stakeholders. Provide technical leadership and mentorship to team members.
? Performance Monitoring: Establish and monitor performance metrics for generative models. Continuously improve model performance and reliability through iterative testing and optimization.
? Documentation and Standards: Develop and maintain comprehensive documentation for AI architectures, models, and processes. Establish and enforce best practices and standards for generative AI development and deployment.
Required Qualifications:
? Educational Background: Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field.
? Experience:
? 7+ years of experience in AI and machine learning, with a focus on generative models.
? Proven experience in architecting and deploying large-scale AI systems.
? Technical Skills:
? Proficiency in programming languages such as Python and familiarity with AI/ML frameworks (e.g.,
TensorFlow, PyTorch).
? Deep understanding of neural networks, GANs, VAEs, transformers, and other generative models.
? Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker,
Kubernetes).
? Strong knowledge of data engineering, data pipelines, and MLOps practices.
? Analytical Skills: Exceptional problem-solving skills and the ability to analyze and interpret complex data.
? Communication: Excellent verbal and written communication skills. Ability to convey complex technical concepts to diverse audiences.
Preferred Qualifications:
? PhD in a relevant field.
? Publications or significant contributions to the AI community.
? Experience in natural language processing (NLP), computer vision, or other specific domains of generative AI.
? Experience with real-time systems and handling large-scale, high-velocity data
