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
