Extreme Networks is looking to innovate and create next-generation networking experiences by leveraging Generative AI, Machine Learning, Big Data, and Cloud Computing. The company aims to build intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time to fundamentally shift how businesses manage networks.
Requirements
- 5+ years of full SDLC experience including design, coding, reviews, testing, deployment, and operations
- 5+ years of experience building and deploying end-to-end ML solutions in production
- Hands-on experience developing Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning in production
- Experience with large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP
- Experience with distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, or Glue
- Experience with Graph ML and Graph technologies such as GNNs or Graph RAG
Responsibilities
- Be a thought leader and forward thinker, helping drive innovative vision across products and platforms, designing and launching strategic ML solutions, and delivering business-wide innovation
- Lead the full software development lifecycle including design, testing, deployment, and operations, guide technical discussions and strategy, and actively participate in design reviews, code reviews, and implementation
- Develop high-performance, production-ready ML code for next-generation real-time ML platforms, and extend existing ML libraries and frameworks
- Collaborate closely with engineers and scientists to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms into production systems at scale
- Help define every aspect of the user journey, product vision, and technical roadmap
- Drive innovation from concept to delivery
- Pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning
Other
- Experience : 5 to 12 Years
- Location : Seattle, WA u007C Toronto, Canada
- Remote
- Degree in Computer Science, Mathematics, or a related field
- Strong ability to solve complex and ambiguous problems
