Senior Python Developer

hire feed • Canada

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

We are hiring 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 include designing, developing, and maintaining efficient Python code, conducting evaluations, and leading efforts in supervised fine-tuning.

Key Highlights

Design, develop, and maintain efficient Python code

Conduct evaluations to benchmark model performance

Lead efforts in supervised fine-tuning

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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.

Technical Skills Required

Python Supervised fine-tuning Reinforcement learning with human feedback

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Benefits & Perks

Competitive salary based on experience

Remote work

Equal opportunity employer

Job Description

Role: Python Engineer (Remote)
Location: Remote (Work from Anywhere)
Job Type: Full-Time
Payout: Competitive, based on experience

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.

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