CEIPAL ATS - Simplified Recruiting and Staffing Hello, Greetings of the day!! we have an excellent job opportunity with one of our clients. Please go through the below job description and if you are interested, please share your updated resume to proceed further. Thank you!! Job title: ML/NLP engineers Python/ Cloud/ Data Location: 100% remote, Est hours Duration: 12months Required Skills: They need 2 resources years of experience are less important than skills - PLEASE SPECIFY WHICH ROLE BELOW YOU ARE SUBMITTING THEM FOR IN THE NOTES SECTION 1. More ML and less NLP / LLM 2. More NLP / LLM experience and less ML Top 3 requirements? 1. Python / Machine Learning programming ? Flex on the Libraries / Frameworks 2. GCP Tenant or Azure GCP is the preference 3. Gradient Boost is used but they are flex Job Description: Project Scope: Greenfield project want a POC/MVP by end of year. The project Data Center Ops. There is a legacy system that doesnt provide the necessary details for inventory want a NLP Chatbot and ML Models built. LLM is going to be critical for one of the resources. They need 2 resources years of experience are less important than skills More ML and less NLP / LLM More NLP / LLM experience and less ML Development Methodology: They have a structure of how they want to will be agile, but probably not all ceremonies because they are moving quick. High-Level Individual Duties: Data is relatively unstructured / un-labeled so they would push a POC as best they can Receipts / Text from a data standpoint Building new models Supervised ML Models past data being used to make predictions (900 users in the models will expand later because this is just a pilot) Must-Haves (Concepts & Tools): Python programming Flex on the Libraries / Frameworks GCP Tenant or Azure GCP is the preference Gradient Boost is used but they are flex Infrastructure is NOT built, but they are working on it so theyd partner with that part of the team HAS TO BE HANDS BUILDING THE MODELS Corporate vs. Academia Data Science Modeling just to provide feedback