Generative AI architect
3 weeks ago
Company Description
Sooch.ai aims to democratize access to Generative AI by providing a platform with low-code/no-code capabilities. By offering a user-friendly interface, users can easily build, customize, and deploy AI-driven workflows. The platform abstracts the underlying technology to empower users to create, innovate, and optimize their workflows effortlessly.
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.
- 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.
- 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
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