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Gen AI Developer

4 months ago

Irving, United States OmegaHires Full time
Job DescriptionJob DescriptionJob Title: Gen AI Developer (NLP)
Duration: FTE - Full-time Position
Location: Irving TX (Hybrid)
 
  • Develop and fine-tune NLP/NLU models, including transformer-based models (BERT, GPT, etc.) for a range of language understanding tasks (language generation, sentiment analysis, entity recognition, etc.) Additionally, design and implement generative AI models by leveraging LLMs for text generation and understanding.
  • Preprocess and curate text data, including text cleaning, tokenization, and data augmentation to prepare it for training NLP/NLU models.
  • Innovate and implement cutting-edge algorithms to improve the performance, accuracy, and efficiency of the NLP/NLU models.
  • Assess model performance using relevant NLP metrics and optimize models for real-world applications.
  • Stay updated with the latest developments in Generative AI specifically on NLP/NLU research and apply new techniques to enhance our solutions.
  • Strong Gen AI resources with Python background and also having IVR, Contact Center Solutions understanding.
  • Strong expertise in NLP/NLU with a focus on deep learning models and open-source LLMs such as Llama 2, Falcon, etc.
  • Proficiency in programming languages such as Python and experience with NLP libraries/frameworks like spaCy, NLTK, Hugging Face Transformers, and Generative AI and LLM frameworks.
  • Familiarity with cloud computing platforms for model training and deployment.
  • Experience with tools like Langchain, Embedchain, and Vector Database (Pinecone, FAISS, Milvus, ChromaDB, Vespa, etc.) to enhance data processing and model development workflow as well as a rich understanding of vector stores and search algorithms.
  • Exceptional problem-solving skills and the ability to work on complex language understanding and Generative AI projects.
  • Experience designing control and sandboxing systems for AI research.
  • Hands-on experience with PyTorch, and TensorFlow.
  • Direct engineering experience in high-performance, large-scale ML systems.
  • Hands-on MLOps experience, with an appreciation of the end-to-end CI/CD process.
  • Have experience supporting fast-paced startup engineering teams.
  • Experience maintaining and/or contributing to bug bounty and responsible disclosure programs.
  • A well-known contributor to open source and always thinking out of the box tooling, using and standardizing with methods of creating APIs, ML/Ops automation, and more.

Preferred Qualifications:
  • Research publications or contributions in the fields of NLP, NLU, and Generative AI.
  • Experience with Conversational AI and chatbots (Kore.ai, Botpress, Nuance, etc.)

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