Lead AI Engineer

Job Description

We are seeking a highly skilled Lead AI Engineer with experience in Azure, OpenAI, Python programming and a specialized focus on embeddings and vector space models. This role is crucial for developing advanced generative AI systems that leverage the power of embeddings to understand and generate complex data representations.

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.

Qualifications

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.