Natural Language Processing Engineer (Freelancer)

About the Role

Soul AI is seeking top-tier Natural Language Processing Engineers for a contract-based, freelancing opportunity. This role offers the chance to collaborate with industry leaders and solve complex AI challenges. Project timelines range from 2 to 12 months.

Key Responsibilities

• Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures like BERT, GPT, T5, LLaMA.
• Build scalable NLP pipelines for real-time and batch processing of large text data.
• Optimize models for performance and deploy them 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.
• Mentor junior engineers.

Requirements & Tech Stack

• Expert Python skills with NLP libraries such as Hugging Face, SpaCy, NLTK.
• Experience with transformer-based models (BERT, GPT, T5).
• Experience deploying at scale using Flask, Kubernetes, cloud services.
• Strong knowledge of model optimization.
• Experience with data pipelines using Spark, Dask.
• Experience with vector databases.
• Familiarity with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations.

Qualifications

• Experience in text analytics, LLMs, and speech processing.

Nice to Have:

• Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing.
• Contributions to open-source NLP projects or a strong publication record.