Location: Irving, TX
Salary: Negotiable
Description: 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 team
- 6 total data scientists and adding 2 more headcount once approved/released
- More use cases and work load
- Input from stakeholder, which include product manager/biz partner, enable the data, develop the models
- AI ML statistical models and then do the deployments use and consumption
- The requirement is that they should be in Irving, TX
- Hybrid-2 days onsite-Everyone is local to TX
- Perform data studies and new data sources for new use cases and conducting statistical odeling, experiment design
- 25% is GenAI building RAGS
- Self driven, take 1 use case and come up with solutions and put into production
- Someone who has lead projects, self driven, prior experience doing so
- Well versed in statistical modeling, data science, genAI, predictive modeling, prescriptive modeling and advanced mathematics
- Python-most of their code is weitten
- PySpark for scaling the model
- SQL-also must have
- 5 years atleast
- Wireless/Wireline/Telecom background
- Mostly data from the network 4g/5g/wireline networks
- Role duration will be 6 months but will extend as long as they perform through end of 2025
- Video interview with Fahad and panel after
- Open to relo
- Basic knowledge of RAGS, how to build, build knowledge agents etc.
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