
Data Quality Engineer for AI Systems
7 days ago
Data Quality Engineer for AI Systems
\We are at the forefront of building AI systems where data quality is crucial.
\As a Data Quality Engineer, you will focus on ensuring the reliability and relevance of training datasets. You will develop automated pipelines to guarantee safety and consistency.
\Your key responsibilities will include:
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- Automating data pipelines to ensure high-quality datasets.\
- Collaborating with annotation teams to drive efficient data workflows.\
- Designing evaluation frameworks to measure data consistency.\
- Running experiments to validate data quality.\
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Key skills required for this role include:
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- Strong understanding of Large Language Models (LLMs).\
- Proficiency in Python, PyTorch, and Hugging Face.\
- Ability to translate model diagnostics into actionable insights.\
- Self-starter with a consultative mindset.\
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Benefits of working with us:
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- Work on mission-driven AI projects that push the boundaries of model reliability.\
- Shape data pipelines that directly influence next-generation AI systems.\
- Join a fast-scaling AI-first team with global impact.\
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If you're passionate about data-centric AI, let's discuss how you can contribute to our success.
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