Principal Machine Learning Engineer
AI Senior Principal Machine Learning Engineer
Experience: 12 to 18 years
Skills: Python/Java, Cloud, PyTorch, CUDA, MapReduce, Spark, Flink, Kafka, PySpark, SageMaker
About the position
Are you energized by the idea of innovating with generative AI? Do you aspire to create a global impact while tackling challenges at the forefront of machine learning? Do you want to be part of the team working on ground-breaking products that define the future of AI-driven network management? Then come, advance with us. This is an incredible opportunity to innovate new networking experiences while working at the cutting edge of IOT, big data, cloud computing, ML and generative AI. This is a greenfield project in which you will help define every aspect of user and product experience and drive significant portions of the technical and scientific roadmaps.
There has never been a better time to join Extreme, after several acquisitions extending our portfolio and go-to market strategy, we have seen enormous opportunity and growth within the regions. Aside from being a Technology Leader in the Gartner Magic Quadrant, we also adamantly promote an internal culture that truly embraces diversity, inclusion, and equality in the workplace. Having Diversity and Inclusion as part of our core values and beliefs, we’re proud to foster an environment where every Extreme employee can thrive because of their differences, not despite them. Our moto here at Extreme is ‘Advance with us’ and it applies to everyone we work with - inside and outside the company.
Our group is responsible for developing core solutions in data mining, machine learning, anomaly detection and natural language processing, positively impacting multiple existing Extreme flagship products and new offerings from the company. We are spearheading a fundamental shift in how businesses think about managing their wired and wireless networks by building high-performance, real-time multi-agent systems that can perceive, learn, and act intelligently on behalf of humans. As a part of this group, you will constantly experiment with new technologies, innovate best-in class networking experiences, and launch state of the art machine learning and data mining solutions.
Responsibilities
Qualifications:
Preferred Qualifications:
Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!