Staff Machine Learning Engineer -Gen AI, Machine Learning, Graph ML, Big Data - 10030
Extreme Networks3 months ago
Bengaluru, India or Delhi, IndiaStaff+
Responsibilities
- Build platforms and solutions for Generative AI, AI agents, retrieval-augmented generation, knowledge bases, data mining, anomaly detection, and LLM fine-tuning.
- Design, implement, test, deploy, and operate machine learning and distributed software systems.
- Design RESTful APIs and architect large-scale distributed systems on cloud platforms.
- Provide technical leadership through architecture ownership, mentoring, and engineering team leadership.
- Develop intelligent, high-performance multi-agent systems for real-time network intelligence.
Requirements
- Degree in mathematics, computer science, or a related discipline.
- At least 8 years of experience across the complete software development lifecycle, including design, coding, code reviews, testing, build processes, deployments, and operations.
- At least 6 years of experience with Python and advanced Python features and libraries.
- Expertise designing RESTful APIs, with hands-on experience using technologies such as FastAPI.
- Proficiency with Docker, Kubernetes, and modern CI/CD practices.
- At least 4 years of experience leading the design and architecture of large distributed systems, preferably on AWS, Azure, or Google Cloud.
- Experience mentoring, serving as a tech lead, or leading an engineering team.
Benefits
- Full-time position
- Location: Bangalore or remote
Tech Stack
Categories
About Extreme Networks
Extreme Networks builds enterprise networking infrastructure—switches, routers, Wi‑Fi access points—and cloud-based management and analytics software used to deploy and secure wired and wireless networks. It sells hardware, software subscriptions, and support services to businesses, schools, hospitals, and governments. Founded in 1996 and headquartered in Morrisville, North Carolina, the company is publicly traded on NASDAQ (EXTR) and offers products in areas such as switching, wireless, security, and network management.