
Senior AI Architect
2 days ago
We are seeking a highly skilled Lead Data Scientist to join our team.
Job Description:
The position of Lead Data Scientist is a high-level role that involves designing, developing, and implementing state-of-the-art generative AI models. The ideal candidate should have deep understanding in designing and developing applications based on Large Language Models (LLMs). A deep understanding of foundational models, frameworks, and techniques is crucial for success in this role, apply innovative solutions to complex problems.
Key Responsibilities include:
- 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
Required Skills and Qualifications:
The successful candidate will have strong skills in design, development, and deployment of LLM-based applications, proficient coding skills in Python and SQL, and a thorough understanding of prompt engineering, including refining and optimizing prompts to enhance the outcomes of Large Language Models (LLMs).
Benefits:
We offer competitive salaries, flexible work arrangements, and opportunities for professional growth and development.
Others:
The ideal candidate will have experience with LangChain and a comprehensive understanding of LangChain concepts such as agents, chains, memory, and tools, knowledge of vector databases and embeddings, and 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 is also desirable, as well as experience with large-scale data processing and distributed computing.
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