Chief Architect of AI Systems

This role represents a high-level, specialized position within our organization. As a Lead Data Scientist, you will be responsible for overseeing the development and implementation of large language models (LLMs) to drive innovation in our data engineering team.

The ideal candidate should possess deep expertise in designing and developing applications based on LLMs, as well as experience working with cloud computing platforms such as AWS, GCP, or Azure.

We are seeking a highly skilled and accomplished Senior Data Scientist with a minimum of 6 years of experience. This individual should have a strong understanding of foundational models, frameworks, and techniques, as well as the ability to apply innovative solutions to complex problems.

A key responsibility of this role will be to collaborate with cross-functional teams to define project goals, research requirements, and deliver cutting-edge solutions. The successful candidate will also be expected to optimize solutions through thorough research, experimentation, and advanced problem-solving techniques.

To excel in this position, you should have a deep understanding of prompt engineering, including refining and optimizing prompts to enhance the outcomes of LLMs. Proficient coding skills in Python and SQL are essential, as is experience with LangChain and a comprehensive understanding of LangChain concepts such as agents, chains, memory, and tools.

Familiarity with vector databases and embeddings is also desirable, as is knowledge of the landscape of LLMs, including the GPT family of models and open-source models like LLaMA and Falcon.

In addition to technical expertise, excellent communication skills are required to effectively convey complex concepts and results to both technical and non-technical stakeholders.

We value a collaborative working environment and encourage the sharing of knowledge and best practices among team members. If you are a motivated and experienced data scientist looking for a challenging and rewarding role, please consider applying for this exciting opportunity.

• Design, develop, and implement state-of-the-art generative AI models.
• Collaborate with cross-functional teams to define project goals, research requirements, and deliver innovative solutions.
• Optimize solutions through thorough research, experimentation, and advanced problem-solving techniques.
• Keep up-to-date with the newest developments in generative AI, deep learning, and associated areas, integrating emerging methods into the team's processes.
• Develop and maintain clear and concise documentation of generative AI models, processes, and results.
• Communicate complex concepts and results effectively to both technical and non-technical stakeholders.
• Provide support and guidance to team members, contributing to a positive and collaborative working environment.

• Proficient coding skills in Python and SQL.
• Thorough understanding of prompt engineering, including refining and optimizing prompts to enhance the outcomes of Large Language Models (LLMs).
• Working experience with LangChain and a comprehensive understanding of LangChain concepts such as agents, chains, memory, and tools.
• Knowledge of vector databases and embeddings.
• Familiarity with the landscape of LLMs, including the GPT family of models and open-source models like LLaMA and Falcon.
• Experience in cloud computing platforms: AWS preferred/GCP/Azure
• Experience with large-scale data processing and distributed computing is a plus.
• API understanding

• AWS working understanding e.g. Lambda,Sagemaker
• Vector databases