Staff Machine Learning Engineer -Gen AI, Machine Learning, Graph ML, Big Data - 10030
Extreme Networks2 months ago
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, Inc. (EXTR) is a leader in AI-powered cloud networking, delivering a unified platform that simplifies and secures IT operations. Our solutions help businesses address challenges and enable connections among devices, applications, and users. We push the boundaries of technology, leveraging the powers of artificial intelligence, analytics, and automation. Trusted by thousands of customers globally, our AI-powered cloud networking solutions and industry-leading support enable businesses to drive value, foster innovation, and overcome extreme challenges. For more information, visit Extreme's website at www.extremenetworks.com or follow us on LinkedIn, YouTube, X/Twitter, Facebook, or Instagram.