NLP Engineer

4 weeks ago

Delhi, India Normality Technologies Private Limited Full time
T Position Overview:
We are seeking a highly skilled and proactive  NLP Engineer  to design and implement advanced natural language processing (NLP) solutions. The role involves end-to-end ownership of NLP-based projects, from requirements gathering and model development to deployment and optimization. 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.
Key Responsibilities:
NLP Solution Development
Design and implement NLP models for tasks such as text generation, summarization, keyword extraction, grammar correction, and semantic analysis.
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  T5 ,  BERT ,  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.
Software Development Life Cycle (SDLC)
Participate in all phases of the SDLC, including requirements analysis, design, development, testing, and deployment.
Collaborate with QA teams to develop and execute test plans for validating NLP solutions.
Ensure robust version control and maintain high-quality coding standards throughout the development process.
Research and Innovation
Stay updated on the latest advancements in NLP, AI, and related technologies.
Experiment with new models and techniques to enhance existing processes and workflows.
Identify opportunities for innovation and propose new use cases for NLP solutions.
Key Qualifications:
Technical Skills
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.
Project Management Skills
Experience managing projects with multiple stakeholders and delivering on deadlines.
Ability to create detailed project plans and track progress effectively.
Strong organizational skills and attention to detail.
SDLC Knowledge
Familiarity with Agile and waterfall methodologies for software development.
Experience in writing project documentation, including technical specifications and user stories.
Knowledge of CI/CD processes and version control tools (e.g., Git).
Soft Skills
Strong analytical and problem-solving skills.
Excellent communication skills for collaboration with cross-functional teams.
Ability to lead and mentor team members when required.
Preferred Experience
Experience deploying NLP models in production environments.
Prior work in domains like HR, education, or finance involving NLP applications.
Educational Background:
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Strong foundational knowledge of natural language processing, machine learning, and project management principles.

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