Our client is currently seeking a DATA SCIENTIST - IV in Irving, TX
Job description : Responsibilities :
- Support the various AI / ML models that need to be deployed to production
- Troubleshoot various activities and rectify any problems that arise in the end-to-end model pipeline
- Test and validate AI Models. Deploy and manage models throughout the end to end lifecycle.
- Industrialize the model pipeline which includes Testing & validation of the model pipeline
- Be part of the requirements for new enhancements in model / solution
- Propose new ideas / solutions that can be helpful for the project overall
- Analyze and understand problems and issues to convert these insights into system requirements
- Build scalable and high performance Machine Learning and Data Mining algorithms
Irving Manager-part of Verizon business group
Product team manages IOT and SDWAN products and they are the data scientist team6 total data scientists and adding 2 more headcount once approved / releasedMore use cases and work loadInput from stakeholder, which include product manager / biz partner, enable the data, develop the modelsAI ML statistical models and then do the deployments use and consumptionThe requirement is that they should be in Irving, TXHybrid-2 days onsite-Everyone is local to TXPerform data studies and new data sources for new use cases and conducting statistical odeling, experiment design25% is GenAI building RAGSSelf driven, take 1 use case and come up with solutions and put into productionSomeone who has lead projects, self driven, prior experience doing soWell versed in statistical modeling, data science, genAI, predictive modeling, prescriptive modeling and advanced mathematicsPython-most of their code is weittenPySpark for scaling the modelSQL-also must have5 years atleastWireless / Wireline / Telecom backgroundMostly data from the network 4g / 5g / wireline networksRole duration will be 6 months but will extend as long as they perform through end of 2025Video interview with Fahad and panel afterOpen to reloBasic knowledge of RAGS, how to build, build knowledge agents etc.