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Senior NLP Engineer

3 years

0 Lacs

india

Posted:22 hours ago| Platform: Linkedin logo

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Skills Required

processing learning ml development cutting ai design analysis retrieval preprocess data model training monitoring research nltk tensorflow tuning graphs aws gcp containerization docker communication recognition mlflow vertex

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: Senior NLP Engineer


Experience: 3+ years


About the Role

Senior NLP Engineer


Key Responsibilities

  • Design, develop, and optimize NLP models for tasks such as text classification, sentiment analysis, information retrieval, and conversational AI.
  • Implement deep learning architectures (RNNs, LSTMs, Transformers, BERT, GPT, etc.) for NLP applications.
  • Work with large datasets to preprocess, clean, and structure data for model training and evaluation.
  • Deploy NLP solutions into production using MLOps best practices (CI/CD, model monitoring, retraining).
  • Conduct research on state-of-the-art NLP techniques and integrate them into products.
  • Collaborate with product managers, data scientists, and engineers to define project requirements and deliverables.
  • Mentor and guide junior NLP engineers and researchers.

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field (PhD preferred).
  • 4+ years of experience in Machine Learning/NLP, with at least 3 years in applied NLP projects.
  • Strong proficiency in

    Python

    and NLP libraries/frameworks such as

    NLTK, SpaCy, Hugging Face Transformers, TensorFlow, PyTorch

    .
  • Hands-on experience with

    LLMs (BERT, GPT, LLaMA, etc.)

    and fine-tuning for domain-specific applications.
  • Familiarity with

    information retrieval, knowledge graphs, embeddings, and semantic search

    .
  • Experience with cloud platforms (

    AWS, GCP, Azure

    ) and containerization (Docker, Kubernetes).
  • Strong problem-solving, analytical, and communication skills.

Nice-to-Have

  • Experience with

    speech recognition (ASR)

    or

    multimodal NLP

    .
  • Contributions to open-source NLP projects or published research papers.
  • Exposure to

    MLOps tools

    like MLflow, Kubeflow, or Vertex AI.


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