Job Description

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 application * Stay updated with latest developments in Generative AI specifically on NLP/NLU research and apply new techniques to enhance our solutions

Requirements

• Strong expertise in NLP/NLU with 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 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, TensorFlow
• Direct engineering experience of 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, Chatbots (Kore.ai, Botpress, Nuance, etc.)

Job Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: IT Services and IT Consulting