
Data Scientist
Posted 6 days ago

Posted 6 days ago
This is a fully remote position, open to applicants in India.
• Assist Empower’s Responsible AI (RAI) initiative by integrating directly with AI Factory teams.
• Ensure that AI and GenAI applications are secure, quantifiable, transparent, and adhere to Empower’s Responsible AI principles.
• Act as the Responsible AI data science collaborator for designated AI CoreWorks Factory teams.
• Aid in the incorporation of evaluation workflows, guardrails, and measurement practices.
• Implement evaluations concerning hallucination, fairness, contextual grounding, transparency, robustness, and other risks related to model behavior.
• Create benchmark datasets, evaluation scripts, and structured testing methodologies for uniform assessment across AI applications.
• Examine model architectures, data attributes, and inference workflows to guide evaluation design and interpretation of findings.
• Utilize machine learning, statistical, and experimental design techniques to evaluate model behavior and performance.
• Assess how training methodologies, data sources, model configurations, and deployment practices impact Responsible AI outcomes.
• Contribute to research, experimentation, and prototyping of innovative Responsible AI methods and evaluation techniques.
• Bachelor’s or Master’s degree in computer science, data science, statistics, or a related quantitative field, or equivalent experience.
• Experience in developing, validating, or assessing machine learning models in production or pre-production settings.
• Strong expertise in Python and experience with data for machine learning analysis, experimentation, and evaluation.
• Familiarity with experimental design, statistical analysis, and model performance evaluation.
• Exposure to GenAI or LLM systems, encompassing model behavior analysis, safety testing, or explainability methods.
• Ability to work collaboratively with engineering, QA, and product teams in a matrixed structure.
• Excellent written and verbal communication skills.
• Flexible work environment.
• Fluid career paths.
• Celebrate internal mobility.
• Emphasis on purpose, well-being, and work-life balance.
• Welcoming and inclusive atmosphere.
• Thousands of hours available for volunteering for meaningful causes.
Arch Global Services (Philippines) Inc.
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