Python Data Scientist for AI Model Training & Evaluation

Hire Feed; Indonesia; On-site; IDR 180,000,000 - 280,000,000; Full time

Job summary

Hire Feed is seeking a Data Scientist/Analyst for a full-time role focused on developing and maintaining Python code to train and optimize AI models. You will collaborate with researchers and annotators to implement reinforcement learning with human feedback and refine reward models.

You will design and implement scalable data pipelines, conduct evaluations to benchmark performance, and contribute to documenting methodologies and results for cross-functional teams.

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

Data science

Machine learning

Data analysis

Bug fixing

Technical documentation

Communication

Tools

Python

Jupyter notebooks

Job description

Hire Feed is seeking a Data Scientist/Analyst for a full-time role focused on developing and maintaining Python code to train and optimize AI models. You will collaborate with researchers and annotators to implement reinforcement learning with human feedback and refine reward models.

You will design and implement scalable data pipelines, conduct evaluations to benchmark performance, and contribute to documenting methodologies and results for cross-functional teams.