AI Staff Machine Learning Engineer -Gen AI,Machine Learning,Graph ML,Big Data(10030)
Extreme Networks
📍 Merrimack, New Hampshire, US0💼 Tempo pieno🕐 25 giorni fa
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Descrizione
AI Staff Machine Learning Engineer
Extreme Networks, Inc. creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of something big with Extreme! As a global networking leader, learn why there's no better time to join the Extreme team.
Position: AI Staff Machine Learning Engineer
Experience: 5 to 14 Years
Hybrid/Remote
Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.
About the Position
• Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation.
• Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strate
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