GENERATIVE AI Engineeer

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

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

Experience maintaining and/or contributing to bug bounty and responsible disclosure programs
 

A well-known contributor to opensource and always thinking out of the box tooling, using and standardizing with methods of creating APIs , ML/Ops automation and more