Extreme Networks
AI Principal Machine Learning Engineer (10026)
Extreme Networks, Seattle, Washington, us, 98127
AI Principal Machine Learning Engineer – (Gen AI, Big Data)
Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? It’s a greenfield opportunity to shape next‑gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, driving innovation from concept to delivery.
Job Responsibilities
Provide technical leadership and vision for large‑scale distributed systems, ML platforms, and next‑generation data infrastructure
Lead the design, architecture, and delivery of end‑to‑end solutions across the full SDLC, spanning development, testing, deployment, and operations
Drive innovation in Big Data, Generative AI, and Graph ML by translating emerging technologies into production‑ready solutions
Architect scalable microservices and real‑time inferencing systems leveraging modern ML infrastructure such as AI Agents, MCP, ML Inference, and LLM Gateway
Mentor and grow engineering teams, set technical direction, and foster a culture of engineering rigor, collaboration, and operational excellence
Champion best practices for building resilient, secure, and high‑performance systems, optimized for scale and reliability
Requirements
Degree in Computer Science, Mathematics, or a related field
10+ years of experience across the full software development lifecycle including design, coding, reviews, testing, deployment, and operations
5+ years of experience with distributed Big Data and ML platforms such as Spark, Lakehouse, Debezium, Kafka, Flink, or Hudi
Hands‑on experience building Generative AI solutions such as RAG, AI Agents, and LLM fine‑tuning in production
Experience working with Graph ML and Graph technologies such as GNNs
Strong track record of end‑to‑end solution ownership, from design through production scaling
5+ years of experience deploying large‑scale solutions on cloud platforms such as AWS, Azure, or GCP
Proven ability to solve highly complex, ambiguous, cross‑domain problems with measurable business impact
Preferred Qualifications
MS or PhD in Computer Science, Machine Learning, or a related discipline
Experience with sensitive or streaming data pipelines, including real‑time compliance and governance controls
Salary based on qualifications, experience and region up to USD 170,000 plus benefits.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Job Responsibilities
Provide technical leadership and vision for large‑scale distributed systems, ML platforms, and next‑generation data infrastructure
Lead the design, architecture, and delivery of end‑to‑end solutions across the full SDLC, spanning development, testing, deployment, and operations
Drive innovation in Big Data, Generative AI, and Graph ML by translating emerging technologies into production‑ready solutions
Architect scalable microservices and real‑time inferencing systems leveraging modern ML infrastructure such as AI Agents, MCP, ML Inference, and LLM Gateway
Mentor and grow engineering teams, set technical direction, and foster a culture of engineering rigor, collaboration, and operational excellence
Champion best practices for building resilient, secure, and high‑performance systems, optimized for scale and reliability
Requirements
Degree in Computer Science, Mathematics, or a related field
10+ years of experience across the full software development lifecycle including design, coding, reviews, testing, deployment, and operations
5+ years of experience with distributed Big Data and ML platforms such as Spark, Lakehouse, Debezium, Kafka, Flink, or Hudi
Hands‑on experience building Generative AI solutions such as RAG, AI Agents, and LLM fine‑tuning in production
Experience working with Graph ML and Graph technologies such as GNNs
Strong track record of end‑to‑end solution ownership, from design through production scaling
5+ years of experience deploying large‑scale solutions on cloud platforms such as AWS, Azure, or GCP
Proven ability to solve highly complex, ambiguous, cross‑domain problems with measurable business impact
Preferred Qualifications
MS or PhD in Computer Science, Machine Learning, or a related discipline
Experience with sensitive or streaming data pipelines, including real‑time compliance and governance controls
Salary based on qualifications, experience and region up to USD 170,000 plus benefits.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
#J-18808-Ljbffr