Key Responsibilities:

• Generative AI Development: Design and implement cutting-edge generative AI systems using Azure cloud services and OpenAI technologies, with a strong focus on creating efficient, scalable models.
• Large Language Model Proficiency: Experience in working with LLMs, particularly in their application to embeddings and vector space models. Ability to fine-tune these models for specific applications.
• Azure and OpenAI Integration: Manage and execute generative AI projects on Azure, ensuring seamless integration with OpenAI's APIs and tools.
• Advanced Python Programming: Proficient in Python, especially in the context of AI and machine learning libraries and frameworks, with a focus on developing and manipulating embeddings and vector space models.
• Embeddings and Vector Space Model Expertise: Deep knowledge of embedding techniques and vector space models as they apply to generative AI. This includes creating, tuning, and leveraging embeddings for various types of data (text, images, etc.).
• Innovative Solution Design: Utilize generative AI to create novel solutions for complex problems, including developing new ways to generate, understand, and manipulate data.
• Collaborative Leadership: Lead interdisciplinary teams and collaborate effectively with software developers, data scientists, and product managers in the AI domain.
• Ethical AI Development: Uphold ethical standards in AI, focusing on responsible use of generative models, data privacy, security, and bias mitigation.
• Model Optimization: Continuously monitor and improve the performance of generative AI models, particularly in the context of embeddings and vector space efficiency.
• Mentorship and Knowledge Sharing: Stay abreast of emerging trends and advancements in generative AI, embeddings, and vector space models. Share expertise and mentor team members in these areas.
• Risk Assessment and Management: Evaluate risks in generative AI projects, especially those related to the use of embeddings and vector models, and develop strategies to address these risks.

Competencies:

• Advanced degree in Computer Science, AI, Machine Learning, or related field.
• Extensive experience in generative AI, with specific expertise in embeddings and vector space models.
• Proficiency in Python and related AI and machine learning libraries/frameworks.
• Demonstrated experience with Azure and OpenAI platforms in the context of generative AI.
• Strong analytical, leadership, and communication skills.
• Commitment to ethical AI development and knowledge.