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Natural Language Processing Engineer (Freelancer)

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Onsite

Natural Language Processing Engineer (Freelancer)

Soul Ai

Natural Language Processing Engineer (Freelancer)

Skills

Google Cloud PlatformFlaskPythonAIAWSKubernetesNLP / Natural Language ProcessingAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

15 September 2026

What they need


Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI).

We are looking for Indias top 1% NLP Engineers for a unique job opportunity to work with the industry leaders.- Who can be a part of the community.

We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing.

If you have experience in this field then this is your chance to collaborate with industry leaders.

  • Whats in it for you.

    Pay above market standards.

    The role is going to be contract based with project timelines from 2 12 months, or freelancing.

  • Be a part of Elite Community of professionals who can solve complex AI challenges.

    Work location could be:.

    Remote (Highly likely).

    Onsite on client location.

    Deccan AIs OfficeHyderabad or Bangalore.

    Responsibilities:.

    Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA).

  • Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure).

  • Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques.

  • Ensure ethical AI practices and mentor junior engineers.

  • Required

    Skills:

  • .

    Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK).

  • Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services).

  • Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases.

  • Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations.

  • Nice to Have:.

    Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement.

  • Contributions to open-source NLP projects or a strong publication record.

  • What are the next steps.

    Register on our Soul AI website.

    Our team will review your profile.

    Clear all the screening roundsClear the assessments once you are shortlisted.

    Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project.

    Skip the Noise.

    Focus on Opportunities Built for You!.

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