graduate engineer

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

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.