Our Client is a leader in building software that drives their customers' business, for enterprises and software product companies with software at the core of their transformation. We have an urgent need for a Data Scientist for one of their large engagements. Please share the updated resume with contact information if you would like to Evaluate.

Responsibilities

• 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.,)
• 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

Information Technology

Industries

Software Development