NLP Expert

Norconsult Telematics

Posted 30+ days ago

Experience

6 - 8 Years

Education

Bachelor of Business Administration(Management)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Position Objective:

Design and implement cutting-edge NLP and Large Language Model (LLM) solutions for clients, with a strong focus on prompt engineering, text classification, summarization, language modeling, and the development of robust AI-driven applications.


Job Description & Responsibilities:

  • Fine-tune, train, and optimize transformer-based models (e.g., BERT, GPT) for domain-specific tasks.
  • Design effective prompts and optimize model responses through iterative prompt engineering techniques.
  • Contribute to the development of semantic search, Retrieval-Augmented Generation (RAG) systems, and chatbot workflows.
  • Evaluate the performance of NLP models using relevant metrics such as BLEU, ROUGE, perplexity, and accuracy.
  • Collaborate with AI, MLOps, Data Engineering, and Application Development teams to ensure seamless integration and deployment of NLP solutions.
  • Work with vector databases (e.g., FAISS, Pinecone) and frameworks like LangChain for advanced LLM orchestration.
  • Maintain high availability and performance of NLP pipelines in production environments, particularly on platforms like OpenShift AI.
  • Participate in prototyping, deployment, testing, and iteration of AI/NLP products to meet business and user needs.


Qualifications & Experience:

  • Minimum of 6 to 8 years of hands-on experience in NLP, text analytics, or working with LLMs.
  • Master s degree in Computational Linguistics, Computer Science, Artificial Intelligence, or a related field.
  • Strong experience with NLP libraries such as Hugging Face Transformers, spaCy, and NLTK.
  • Familiarity with vector databases and orchestration tools like LangChain is an added advantage.
  • Experience with AI deployment and monitoring tools, especially within OpenShift AI environments.
  • Solid understanding of foundational NLP concepts such as tokenization, embeddings, attention mechanisms, and evaluation techniques.

Company Industry

Department / Functional Area

Keywords

  • NLP Expert

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