AI Senior Principal Machine Learning Engineer

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

• 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, production-ready machine learning code for our next-generation real-time ML platform. Extend existing ML libraries and frameworks.
• Working closely with other engineers and scientists, lead solutions to accelerate model development, validation and experimentation cycles, and integrate models and algorithms in production systems at a very large scale.
• 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.
• 12+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
• 7+ years of experience in programming, with proficiency in at least one programming language, preferably Python or Java .
• 5+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS , Azure , Google Cloud ).
• Experience working with distributed data and ML technologies (e.g. MapReduce , Spark , Flink , Kafka , PySpark , SageMaker etc.).
• Experience as a mentor, tech lead or leading an engineering team.
• Adept at tackling highly complex, ambiguous or undefined problems.

Preferred Qualifications:

• MS or PhD in Computer Science or equivalent experience in ML .
• Experience dealing with real world large-scale datasets.
• Prior experience delivering end-to-end ML solutions, including data preparation, training, fine-tuning and deployment of large models.
• Prior experience in developing ML optimization techniques in frameworks like PyTorch and CUDA .

Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!