AI Analyst (Remote)
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Key skills for this role
About the Role
Quik Hire Staffing is hiring an AI Evaluation Analyst for a client to assess and improve AI model performance. The role involves designing evaluation frameworks, analyzing model outputs, and collaborating with teams.
Key Skills for This Role
Responsibilities
- Design and implement evaluation frameworks to assess AI model performance
- Analyze model outputs to identify strengths, weaknesses, and areas for improvement
- Collaborate with cross functional teams to define evaluation criteria and metrics
- Document evaluation results and provide actionable insights for model refinement
- Ensure evaluations are scalable, reproducible, and aligned with industry standards
Requirements
- Experience with AI model evaluation, including benchmarking and validation
- Proficiency in Python and relevant libraries (e.g., Pandas, NumPy, Scikit learn)
- Familiarity with evaluation metrics such as accuracy, precision, recall, and F1 score
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
- Strong analytical and problem solving skills with attention to detail
- Ability to communicate technical findings to non technical stakeholders
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking an AI Evaluation Analyst to assess and improve the performance of AI models.
- The role involves designing evaluation frameworks, analyzing model outputs, and ensuring alignment with business objectives.
Key Responsibilities
- Design and implement evaluation frameworks to assess AI model performance.
- Analyze model outputs to identify strengths, weaknesses, and areas for improvement.
- Collaborate with cross functional teams to define evaluation criteria and metrics.
- Document evaluation results and provide actionable insights for model refinement.
- Ensure evaluations are scalable, reproducible, and aligned with industry standards.
Required Skills & Qualifications
- Experience with AI model evaluation, including benchmarking and validation.
- Proficiency in Python and relevant libraries (e.g., Pandas, NumPy, Scikit learn).
- Familiarity with evaluation metrics such as accuracy, precision, recall, and F1 score.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
- Strong analytical and problem solving skills with attention to detail.
- Ability to communicate technical findings to non technical stakeholders.
More About the Opportunity
- This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of cutting edge AI solutions.
- The position requires a structured approach to evaluating AI models and driving continuous improvement.
Equal Opportunity Employer
- We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history.
- Applications are reviewed solely on demonstrated technical ability and qualifications.
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