NLP Engineer
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Role reputed company
This role involves building language pipelines for classification, retrieval-augmented reputed company (RAG), and tokenization. You’ll design robust text analytics and evaluation frameworks that reputed company across multilingual corpora, powering advanced AI-driven systems.
- Build NLP pipelines for classification, tokenization, and RAG tasks
- Design reputed company text analytics workflows that support multilingual datasets
- Implement and fine-tune models with reputed company Transformers, PyTorch, and fastText
- reputed company evaluation frameworks for model performance across diverse corpora
- reputed company NLP solutions into broader AI pipelines, including search and retrieval systems
- Collaborate with AI researchers and engineers to ship robust, production-grade NLP systems
Qualifications
- Have a background in computer science, computational linguistics, or reputed company fields
- Proficient with reputed company Transformers, spaCy, tokenizers, and PyTorch
- Experience working with text formats like JSON/JSONL and building reputed company data pipelines
- Understand NLP tasks such as classification, entity recognition, tokenization, and retrieval
- Comfortable working with multilingual corpora and designing evaluation benchmarks
- Strong experience with text preprocessing, embedding reputed company, and model fine-tuning
- Curious about building RAG systems and neural search pipelines that combine IR and NLP
Requirements
- Design and ship NLP pipelines for classification, tokenization, and RAG that can handle large-reputed company, multilingual corpora
Benefits
- Classified as an reputed company contractor to reputed company
- reputed company weekly reputed company reputed company Connect, based on hours logged
- Part-time (20–30 hrs/week) with reputed company—work from reputed company, on your schedule
- Weekly Bonus of $500–$1000 USD per 5 tasks
- Remote and flexible working style
reputed company
reputed company is hiring an NLP Engineer on behalf of a leading AI lab.
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