Senior Python Engineer - Remote AI/ML Tuning

Hired; Argentina; Presencial; ARS 135.892.000 - 226.487.000; Jornada completa

Descripción de la vacante

Hired is seeking a Senior Python Developer to support a foundational LLM company in enhancing large language models. You will design and optimize Python code to train AI models, benchmark performance, and rank model responses across domains.

You will lead supervised fine-tuning efforts, collaborate with researchers and annotators, and refine reward models using RLHF techniques. This role offers the chance to work with a global leader in artificial intelligence, contributing to cutting-edge data

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

AI/ML frameworks

SFT

RLHF

Evaluation strategies

Data generation

Model optimization

Descripción del empleo

Hired is seeking a Senior Python Developer to support a foundational LLM company in enhancing large language models. You will design and optimize Python code to train AI models, benchmark performance, and rank model responses across domains.

You will lead supervised fine-tuning efforts, collaborate with researchers and annotators, and refine reward models using RLHF techniques. This role offers the chance to work with a global leader in artificial intelligence, contributing to cutting-edge data