AI/ML Data Scientist (Python) for RL & Model Evaluation

Hire Feed; España; On-site; PHP 5,643,000 - 8,150,000; Full time

Job summary

Hire Feed is seeking a Data Scientist/Analyst to work full-time on developing and maintaining high-quality Python code to train and optimize AI models, while evaluating performance. You will collaborate with researchers and annotators to implement reinforcement learning with human feedback and refine reward models, focusing on clear explanations and thorough documentation in notebooks.

This role offers the opportunity to contribute to cutting-edge AI systems across diverse domains and to work

Qualifications

• Proficiency in Python for data analysis and model development is required.
• Experience with data science and machine learning techniques is required.
• Ability to use business sense and analytical abilities to extract insights from public databases is required.
• Strong skills in bug fixing and creating thorough technical documentation are required.
• Excellent communication skills to clearly articulate reasoning and logic in Jupyter notebooks or similar formats are required.

Responsibilities

• Design, develop, and maintain efficient, high-quality 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.
• Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise.
• Lead efforts in supervised fine-tuning, including creating and maintaining high-quality, task-specific datasets.

Skills

Python

Data science

Jupyter notebooks

Bug fixing

Communication

Job description

Hire Feed is seeking a Data Scientist/Analyst to work full-time on developing and maintaining high-quality Python code to train and optimize AI models, while evaluating performance. You will collaborate with researchers and annotators to implement reinforcement learning with human feedback and refine reward models, focusing on clear explanations and thorough documentation in notebooks.

This role offers the opportunity to contribute to cutting-edge AI systems across diverse domains and to work