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Extreme Networks

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AI Senior Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerOtherRemoteTeam 1,001-5,000Since 1996H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

136 days ago

Salary

0

No structured requirement data.

Job Description

AI Senior Machine Learning Engineer

Extreme Networks

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team. - Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms. - Design and launch strategic machine learning (ML) solutions and drive business-wide innovation. - Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations. - Lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation. - Craft high-performance, high-scale microservices architectures, including synchronous and asynchronous web services. - Develop real-time online inferencing for highly complex models using Triton, TensorRT and mixed precision computing. - Mentor and develop other engineers on the team, establish technical direction and foster team culture. - Uphold the highest standards of technical rigor in engineering and operational excellence. - Build highly resilient and scalable systems, and champion operational and process improvements. Qualifications - Degree in mathematics/computer science or related discipline. - 5 to 10 years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations. - 5 to 10 years of experience in Python with an in-depth knowledge of its advanced features and libraries. - Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI. - Proficient in Docker, Kubernetes, and modern CI/CD practices. - 3+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud). - Experience as a mentor, tech lead or leading an engineering team. Preferred Qualifications - MS or PhD in Computer Science or equivalent experience in ML. - Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.). - Experience with NoSQL and document databases. - Proven ability to handle big data, optimize workflows, and improve system performance. Salary Salary based on qualifications, experience and region up to USD 170 k to 240 K plus benefits. $170,000 - $240,000 a year

Job Requirements

  • Degree in mathematics/computer science or related discipline.
  • 5 to 10 years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
  • 5 to 10 years of experience in Python with an in-depth knowledge of its advanced features and libraries.
  • Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI.
  • Proficient in Docker, Kubernetes, and modern CI/CD practices.
  • 3+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Experience as a mentor, tech lead or leading an engineering team.
  • Preferred Qualifications
  • MS or PhD in Computer Science or equivalent experience in ML.
  • Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.).
  • Experience with NoSQL and document databases.
  • Proven ability to handle big data, optimize workflows, and improve system performance.
  • Salary
  • Salary based on qualifications, experience and region up to USD 170 k to 240 K plus benefits.
  • $170,000 - $240,000 a year

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