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
Plans, designs, develops and tests software systems or applications for software enhancements and new products including cloud-based or internet-related tools.
May use common development methodologies such as Waterfall and Agile.
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 - B.Tech, M.Tech or Phd in AI/Data Science/CS