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Highly Accomplished Senior Data Science Lead
3 weeks ago
We are actively seeking a highly skilled and accomplished Senior Data Scientist with a minimum of 6 years of experience to lead our generative AI team.
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.
- 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:
- 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.
Nice to Have:
- AWS working understanding e.g. Lambda,Sagemaker.
- Vector databases.