AI Senior Machine Learning Engineer -Gen AI, Machine Learning, Graph ML (10189)

Das ist der Job

These innovations power flagship Extreme products while enabling entirely new offerings.

Darum lohnt es sich

Mentor and develop other engineers on the team, establish technical direction and foster team culture. 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. Come work with a team of highly talented engineers, and advance with us to achieve new heights every day! Salary based on qualifications, experience and region up to USD 170 k to 240 K plus benefits.

Position : AI Staff Machine Learning Engineer -Gen AI,Machine Learning,Graph ML,Big Data Experience : 5 to 14 Years Hybrid/Remote Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine‑tuning.

Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high‑performance multi‑agent systems that perceive, learn, and act in real time. At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.

About the position 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.

Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.

Basic 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. 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. We encourage people from underrepresented groups to apply.

In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status.

Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. #J-18808-Ljbffr