Advanced NLP Developer

5 days ago

India Normality Technologies Private Limited Full time
About the Role

Normality Technologies Private Limited is seeking an Advanced NLP Developer to join our team. This role offers a salary of $120,000 - $180,000 per annum.

Job Description

We are looking for an experienced and skilled developer who can design and implement advanced natural language processing (NLP) solutions. The ideal candidate will have a strong technical background in NLP, a solid understanding of software development life cycle (SDLC) processes, and experience managing projects to deliver high-quality, scalable solutions.

NLP Solution Development
  • Develop text-to-text transformation capabilities for effective content structuring and rephrasing.
  • Utilize semantic analysis techniques to extract meaningful insights from unstructured data.
Tech Stack Implementation
  • Leverage state-of-the-art models like BERT, T5, RoBERTa, and DistilBERT for tailored NLP solutions.
  • Use libraries such as spaCy, NLTK, and Hugging Face Transformers for text processing and model development.
  • Implement efficient pipelines for large-scale processing of text data.
System Integration and Optimization
  • Integrate NLP solutions into existing workflows and systems with high performance and reliability.
  • Optimize NLP models for speed, accuracy, and resource efficiency, including lightweight alternatives.
  • Ensure the scalability of solutions to handle high-volume use cases effectively.
Project Management
  • Lead the planning, execution, and delivery of NLP projects, ensuring alignment with timelines and quality benchmarks.
  • Collaborate with stakeholders to gather requirements, define project scope, and manage deliverables.
  • Create detailed project documentation, including timelines, milestones, and risk assessments.
Key Qualifications
  • Proven experience with NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers).
  • Expertise in pre-trained models (e.g., BERT, T5, RoBERTa) and their fine-tuning for domain-specific applications.
  • Strong programming skills in Python, with proficiency in NLP-specific libraries.
  • Familiarity with machine learning frameworks like PyTorch or TensorFlow.
  • Solid understanding of text preprocessing, feature extraction, and model evaluation techniques.

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