Salary
≈ $44k – $96k per year (Estimated)
Location
Remote/Hybrid (Bengaluru, India)
Seniority
Staff · 8+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Extreme Networks is a global leader in cloud networking solutions. The company specializes in providing wired and wireless LAN infrastructure, network security, and cloud-based network management services. Their products and solutions, such as ExtremeCloud™ IQ and Network Fabric, are designed to simplify IT operations through automation and intelligent management.
Position: Staff Machine Learning Engineer -Gen AI, Machine Learning, Graph ML, Big Data
Experience: 8 to 14 Years
Position type: Full-time
Location: Bangalore/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. These innovations power flagship Extreme products while enabling entirely new offerings. 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.
- Degree in mathematics/computer science or related discipline.
- 8+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
- 6+ 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.
- 4+ 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.
- BE/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.
- Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!
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