Principal Machine Learning Engineer
Extreme NetworksCloud Networking company
Seattle, United StatesLead
Norwest Venture Partners
Kleiner Perkins Caufield & Byers
AVI Capital Management
Trinity Ventures
Data & AI
About the role
TL;DR
Lead ML Engineer to innovate generative AI and drive AI-driven network management solutions.
- •Innovate with generative AI and create global impact by tackling challenges at the forefront of machine learning.
- •This is a greenfield project to define user and product experience and drive technical roadmaps for AI-driven network management.
- •Key Responsibilities Drive an innovative vision for products and platforms, designing and launching strategic ML solutions.
- •Lead the end-to-end software development lifecycle, including design, testing, deployment, and operations.
- •Craft high-performance, production-ready ML code for next-generation real-time ML platforms.
- •Integrate models and algorithms into production systems at a very large scale.
- •Mentor and develop other engineers, establishing technical direction and fostering team culture.
- •Requirements 12+ years of experience in the complete software development lifecycle. 7+ years of experience in programming, preferably Python or Java. 5+ years of experience in leading the design and architecture of large distributed systems on cloud platforms.
- •Experience with distributed data and ML technologies like Spark, Flink, Kafka, PySpark, SageMaker.
- •Experience as a mentor, tech lead, or leading an engineering team.
Required skills
PythonJavaPyTorchSparkSageMakerEngineering ManagementTechnical Leadership
Domain expertise
telecomai
Tech stack
PythonJavaPyTorchSparkSageMaker