Natural Language Processing Engineer (Freelancer)

0 - 3 years

1 - 3 Lacs

Posted:2 weeks ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

top-tier Natural Language Processing (NLP) Engineers

  • Text analytics

  • Large Language Models (LLMs)

  • Speech processing

If you're an NLP expert eager to work on high-impact projects, this is your opportunity to be a part of an elite community solving the next generation of AI challenges.

What's in It for You

  • Compensation above industry standards

  • Work on

    cutting-edge, real-world AI projects

    (duration: 2 to 12 months)
  • Flexible formats

    contractual

    or

    freelance

    roles
  • Join an

    exclusive AI community

    driving innovation across industries
  • Collaborate with experts and

    expand your impact and network

Responsibilities:

  • Develop and optimize

    NLP models

    (e.g., NER, summarization, sentiment analysis) using

    transformer architectures

    (BERT, GPT, T5, LLaMA)
  • Build

    scalable NLP pipelines

    for real-time and batch processing of large text datasets
  • Optimize models and

    deploy on cloud platforms

    (AWS, GCP, Azure)
  • Implement

    CI/CD pipelines

    for automated model training, deployment, and monitoring
  • Integrate NLP solutions with

    search, recommendation systems

    , and

    Retrieval-Augmented Generation (RAG)

    techniques
  • Ensure

    ethical AI practices

    and

    mentor junior engineers

Required Skills:

  • Expert-level proficiency in

    Python

    and NLP libraries:

    Hugging Face, SpaCy, NLTK

  • Experience with transformer-based models (

    BERT, GPT, T5

    )
  • Hands-on deployment at scale using

    Flask, Kubernetes, and cloud services

  • Strong grasp of

    model optimization

    ,

    data pipelines

    (Spark, Dask), and

    vector databases

  • Familiarity with

    MLOps & CI/CD

    tools (MLflow, DVC) and

    data privacy regulations

Nice to Have:

  • Experience with

    multimodal AI

    ,

    conversational AI

    (Rasa, OpenAI API)
  • Understanding of

    knowledge graphs

    ,

    graph-based NLP

    , or

    A/B testing

    for model performance
  • Contributions to

    open-source NLP projects

    or a

    strong publication record

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