SO

Natural Language Processing Engineer (Freelancer)

Soul Ai
Delhi1-3 LPA Posted 1 Jul 2025
FULL TIME
Machine Learning
Deep Learning
Nlp
Flask
Tensorflow
+3 more

Job Description

We are looking for top-tier Natural Language Processing (NLP) Engineers with expertise in:

  • 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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