Job Title: Generative AI Architect
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Responsibilities:
- Design and develop the architecture for our generative AI systems.
- Work with other team members to implement and deploy generative AI systems into production.
- Monitor and manage generative AI systems in production to ensure that they are meeting performance and reliability requirements.
- Develop and implement best practices for building, deploying, and managing generative AI systems.
- Stay up-to-date on the latest research and developments in generative AI and apply new knowledge to our work.
- Collaborate with other engineers, scientists, and product managers to develop and deliver innovative generative AI solutions.
- Mentor and guide junior engineers
Qualifications:
- Master's degree in Computer Science, Artificial Intelligence, or a related field.
- 5+ years of experience in machine learning and generative AI.
- 10+ years of experience in software development
Preferred Skills and Experience:
- Strong experience in designing, building, and deploying scalable machine learning models in cloud platforms such as Azure or GCP
- Experience with a variety of generative AI models and techniques.
- Experience with deep learning models such as GANs, diffusion models, and transformers.
- Experience with prompt engineering and machine learning optimization
- Experience with computer vision and natural language processing.
- Experience with reinforcement learning.
- Experience with distributed computing and scalable systems.
- Experience with DevOps and CI/CD.
- Experience with machine learning ethics
- Experience with generative AI applications in specific domains such as talent management, finance, or manufacturing
- Excellent communication and interpersonal skills.
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.