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Responsibilities
- Design and develop AI-driven search algorithms for hybrid document environments
- Integrate machine learning models to extract, index, and retrieve data from PDFs and Excel files
- Collaborate with product and engineering teams to define technical requirements and deliver robust solutions
- Optimize search performance and accuracy for large-scale, complex datasets
- Ensure data security and compliance with best practices in handling sensitive information
- Troubleshoot, test, and refine platform features based on user feedback and evolving requirements
- Proven experience in AI engineering, with a focus on document search and information retrieval
- Strong proficiency in Python and relevant AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Expertise in natural language processing (NLP), OCR, and data extraction from unstructured documents
- Familiarity with search technologies (e.g., Elasticsearch, Apache Solr) and indexing strategies
- Experience working with complex PDF and Excel file structures
- Ability to work independently in a remote, contract-based environment
- Excellent problem-solving skills and attention to detail
- Strong communication skills for effective collaboration with distributed teams
- Availability for part-time engagement
Twine is a leading freelance marketplace connecting top freelancers, consultants, and contractors with companies needing creative and tech expertise. Trusted by Fortune 500 companies and innovative startups alike, Twine enables companies to scale their teams globally.
Our Mission
Twine's mission is to empower creators and businesses to thrive in an AI-driven, freelance-first world.
Key Skills
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