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 industrys 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 worlds subscribers.
Role Summary
An experienced Data Scientist with a strong AI and Machine Learning background specializing in designing and building Agentic AI systems and applications using state-of-the-art agentic frameworks.Key Responsibilities
Build Agentic AI systems/Application using SOTA Agentic AI frameworks
Build data extraction aggregation pipeline and perform data analysis
Build Train and Evaluate SOTA AI Models (from Classic ML Deep Learning GenAI (LLM/SLMs fine-tuning)
Build complete ML pipeline infrastructure for the Models
Job Requirements
Expertise in Python PyTorch and SQL
Good expertise in Machine Learning (Classical) Deep Learning and Reinforcement Learning.
Very good expertise in Data Science and Statistical concepts
Excellent in building ML models using Tensorflow & Pytorch frameworks.
Expertise in building Agentic AI applications using and Langgraph Langchain or SOTA Agent Orchestrator framework
Basic Qualification - or Phd in AI/Data Science/CS with minimum 3 to 5 years of experience in the above areas
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.
Required Experience:
IC
Mavenir's Network Architecture is transforming the way the world connects through end-to-end cloud-native software.