Related skills
python machine learning data science prompt engineering llms📋 Description
- Design, build, and maintain end-to-end ML pipelines for document extraction.
- Develop LLM-based extraction for logistics documents (invoices, rate sheets).
- Build prompt evaluation frameworks and feedback loops to improve accuracy.
- Train in-house models using HITL data to move from assisted to automated extraction.
- Build semantic similarity models for free-text to standardized vocabulary.
- Improve rate sheet extraction with carrier-specific parsing logic.
🎯 Requirements
- 3+ years of professional data science or ML engineering experience.
- Design, deploy, and maintain production ML systems.
- Onboard quickly with new tools and problem spaces.
- Strong Python proficiency.
- Hands-on experience with LLMs and production evaluation.
- Statistics, experimental design, hypothesis testing.
🎁 Benefits
- People-first culture with care for teammates and diverse perspectives.
- Efficient systems and direct communication.
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