Python AWS Engineer
10 ore fa
Roma, Provincia di Roma; Lazio, Italia
Hired
Tempo pieno
Gratuito con email o Google
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Gratuito con email o Google
Role: Python Engineer (Remote)
Location:
Remote (Work from Anywhere) We are hiring for one of our clients, seeking a Senior Python Developer to assist a foundational LLM company in enhancing their large language models. The goal is to provide high-quality proprietary data for fine-tuning and benchmarking model performance. Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models.
• Conduct evaluations to benchmark model performance and analyze results for continuous improvement.
• Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.
• Collaborate with researchers and annotators to execute reinforcement learning with human feedback and refine reward models. Proficiency in Python and related frameworks/libraries for AI/ML tasks.
• Experience with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF).
• Strong understanding of evaluation strategies and benchmarking processes for AI models.
• Ability to design and implement Python code for data generation and model optimization.
• Familiarity with AI model response evaluation and ranking methodologies. This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing to the advancement of large language models. Candidates will collaborate with top researchers and engineers in the field. All qualified candidates are welcome regardless of background, experience, or prior employment history.
Location:
Remote (Work from Anywhere) We are hiring for one of our clients, seeking a Senior Python Developer to assist a foundational LLM company in enhancing their large language models. The goal is to provide high-quality proprietary data for fine-tuning and benchmarking model performance. Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models.
• Conduct evaluations to benchmark model performance and analyze results for continuous improvement.
• Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.
• Collaborate with researchers and annotators to execute reinforcement learning with human feedback and refine reward models. Proficiency in Python and related frameworks/libraries for AI/ML tasks.
• Experience with supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF).
• Strong understanding of evaluation strategies and benchmarking processes for AI models.
• Ability to design and implement Python code for data generation and model optimization.
• Familiarity with AI model response evaluation and ranking methodologies. This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing to the advancement of large language models. Candidates will collaborate with top researchers and engineers in the field. All qualified candidates are welcome regardless of background, experience, or prior employment history.