Python Engineer (Remote)
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Key skills for this role
About the Role
We are seeking a Senior Python Developer to assist a foundational LLM company in enhancing their large language models. The role involves designing and maintaining Python code for AI model training, conducting evaluations, and collaborating with researchers on fine-tuning and RLHF.
Key Skills for This Role
Responsibilities
- 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
- Lead efforts in supervised fine tuning, including creating and maintaining high quality, task specific datasets
- Collaborate with researchers and annotators to execute reinforcement learning with human feedback and refine reward models
Requirements
- 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
Full Job Posting
Role Overview
- 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.
Key Responsibilities
- 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.
- Lead efforts in supervised fine tuning, including creating and maintaining high quality, task specific datasets.
- Collaborate with researchers and annotators to execute reinforcement learning with human feedback and refine reward models.
Required Skills & Qualifications
- 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.
More About the Opportunity
- 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.
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