Data Scientist (Python) — AI/ML & RL Evaluation

Hire Feed; Colombia; Presencial; COP 60.000.000 - 90.000.000; Jornada completa

Descripción de la vacante

Hire Feed in Colombia is looking for a Data Scientist/Analyst to develop and maintain high-quality Python code for training and optimizing AI models. You will collaborate with researchers and annotators to implement reinforcement learning with human feedback and refine reward models.

This full-time role offers exposure to cutting-edge AI work within a global technology leader, with responsibilities spanning model evaluation, language understanding, and tooling development.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python data analysis

Machine learning techniques

Data analysis from public databases

Bug fixing

Clear documentation

Descripción del empleo

Hire Feed in Colombia is looking for a Data Scientist/Analyst to develop and maintain high-quality Python code for training and optimizing AI models. You will collaborate with researchers and annotators to implement reinforcement learning with human feedback and refine reward models.

This full-time role offers exposure to cutting-edge AI work within a global technology leader, with responsibilities spanning model evaluation, language understanding, and tooling development.