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AI Principal Machine Learning Engineer (10026)

1 hour, 50 minutes ago
United States
Full-time
Lead
Machine Learning Engineer
Software Development
Apache Spark AWS Azure Flink GCP Generative AI Kafka Machine Learning Microservices
Apply Now
Extreme Networks

Extreme Networks

Extreme Networks is a global leader in cloud-driven networking solutions, delivering innovative services to optimize network infrastructure and user experiences.

IT Services
1K-5K
Founded 1996
View All Jobs 37

Description

  • 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 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 inference systems using modern ML infrastructure such as AI Agents, MCP, ML Inference, and LLM Gateway.
  • Mentor and grow engineering teams while setting technical direction and promoting engineering rigor, collaboration, and operational excellence.
  • Champion best practices for building resilient, secure, and high-performance systems optimized for scale and reliability.
  • Help define product vision, technical roadmap, and user journey for AI-driven networking experiences.

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.
  • MS or PhD in Computer Science, Machine Learning, or a related discipline (preferred).
  • Experience with sensitive or streaming data pipelines, including real-time compliance and governance controls (preferred).

Benefits

  • Salary up to USD 170,000, based on qualifications, experience, and region.
  • Full-time remote work arrangement.
  • Opportunity to work on a greenfield, high-impact AI and networking product area.
  • Exposure to a growing company with strong market recognition and multiple acquisitions.
  • Work within a culture focused on diversity, inclusion, and equality.

Interested in this position?

Apply directly on the company website

Apply Now

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