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AI Principal Machine Learning Engineer (10189)

1 hour, 58 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 29

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 turning emerging technologies into production-ready solutions.
  • Architect scalable microservices and real-time inferencing 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 resilient, secure, high-performance systems optimized for scale and reliability.
  • Help define product vision, user journey, and technical roadmap for AI-powered network intelligence solutions.
  • Support the development of intelligent multi-agent systems that perceive, learn, and act in real time.

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.
  • 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 role.
  • Opportunity to work on a greenfield, high-impact AI initiative.
  • Work on cutting-edge Generative AI, ML, Big Data, and Cloud Computing products.
  • Join a company recognized as a Technology Leader in the Gartner Magic Quadrant.
  • Be part of a multi-year Best Employer award-winning organization.
  • Work in a culture focused on diversity, inclusion, and equality.

Interested in this position?

Apply directly on the company website

Apply Now

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