Data Scientist - Python (Remote)
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Key skills for this role
About the Role
A global technology company seeks a Data Scientist/Analyst to develop and maintain Python code for training and optimizing AI models. The role involves conducting evaluations, ranking AI responses, and leading supervised fine-tuning efforts.
Key Skills for This Role
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
Requirements
- Proficiency in Python for data analysis and model development
- Experience with data science and machine learning techniques
- Ability to use business sense and analytical abilities to extract insights from public databases
- Strong skills in bug fixing and creating thorough technical documentation
- Excellent communication skills to clearly articulate reasoning and logic in Jupyter notebooks or similar formats
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a Data Scientist/Analyst to work on a full time basis. The role involves developing and maintaining high quality Python code to train and optimize AI models while conducting evaluations to benchmark performance and analyze results.
Key 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.
Required Skills & 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.
Compensation
- Payout: Competitive, based on experience
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