AI-Staff/Principal Software Systems Engineer-Gen AI, Machine Learning, Graph ML, Big Data - 10030
Hybrid Bangalore Full-time Senior Machine Learning Engineering
At a glance
Senior Machine Learning Engineering role at Extreme Networks. Bangalore · full-time.
Pay not stated Machine Learning Engineering salary
RoleMachine Learning Engineering
SenioritySenior
LocationBangalore
WorkplaceHybrid
EmploymentFull-time
PostedJul 14, 2026 · 3mo ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Design, code, test, review and deploy software, then support it through ongoing operations
- Build REST APIs and large distributed systems, using cloud platforms where appropriate
- Develop machine-learning capabilities, including generative AI, agents, retrieval systems and model tuning
- Improve big-data workflows and system performance, and guide engineers through technical leadership or mentoring
What you bring
- A degree in mathematics or computer science, or equivalent machine-learning experience
- At least eight years across the software development lifecycle and six years using Python in depth
- At least four years architecting distributed systems, plus experience leading or mentoring engineers
- Hands-on experience with REST API design, containers, Kubernetes, CI/CD, machine-learning tools and NoSQL or document databases
Who this fits
This senior role suits an experienced engineer who can combine software systems architecture with machine-learning work and technical leadership. The position is based in Bangalore, with remote work also listed.
From the employer
Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
Position: AI-Staff/Principal Software Systems Engineer-Gen AI, Machine Learning, Graph ML, Big Data Experience: 8 to 18 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.
We encourage people from underrepresented groups to apply. Come Advance with us! 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.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
Position: AI-Staff/Principal Software Systems Engineer-Gen AI, Machine Learning, Graph ML, Big Data Experience: 8 to 18 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!
We encourage people from underrepresented groups to apply. Come Advance with us! 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.