What are the responsibilities and job description for the Data Scientist position at Mavenir?
Mavenir is building the future of networks and pioneering advanced technology, focusing on the vision of a single, software-based automated network that runs on any cloud. As the industry's only end-to-end, cloud-native network software provider, Mavenir is transforming the way the world connects, accelerating software network transformation for 250 Communications Service Providers in over 120 countries, which serve more than 50% of the world’s subscribers.
Role Summary
Be responsible for development, testing, integration and debugging of RIC including rApps/xApps. Lead the develop and deployment of next-generation Cloud native RAN automation and optimization algorithms and solutions. Perform the functional and performance analysis on production-deployed algorithms.
Key Responsibilities
- You will work on data extraction, aggregation and perform exploratory data analysis.
- Build, Train and Evaluate ML Models using latest SOTA ML Algorithms.
- Perform post model evaluation to determine the performance analysis on production-deployed algorithms and fine-tune the ML models/algorithms to improve the optimization use cases.
- Build backend infrastructure to deployment the Models.
Job Requirements
- Very good expertise in Machine Learning (Classical) and Deep Learning
- Candidates with Reinforcement Learning experience will be preferred.
- Very good expertise in Data Science and Statistical concepts
- Excellent in building ML models using Tensorflow & Pytorch frameworks.
- Expertise in Python and SQL.
- Candidates with experience in applying ML in Telecom preferred (not mandatory)
- Basic Qualification - M.S or Phd in AI/Data Science/CS
Accessibility
Mavenir is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you require any assistance, please state in your application or contact your recruiter.
Mavenir is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants from around the world, regardless of their ethnicity, gender, religion, nationality, age, disability, or other legally protected status.