Staff Machine Learning Engineer -Gen AI, Machine Learning, Graph ML, Big Data - 10030
Extremenetworks · Bangalore
- Location
- Bangalore
- Posted
- 1 month ago
- Type
- Fulltime / On site
- Salary
- Not listed — worth asking early.
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
What the job really is
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: 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!
Similar roles
Open positions we recommend based on this role.
Senior Manager, QA Engineering – Cloud Networking
Extremenetworks · San Jose, California, United States
Sr. Systems Engineer- Netherlands
Extremenetworks · Remote
SR QA SW ENGINEER 10381- Layer2/Layer3 Protocol Testing- Python |Data Center Networking
Extremenetworks · Chennai, India
PRINCIPAL QA SW ENGINEER 10380- Layer2/Layer3 Protocol Testing- Python |Data Center Networking
Extremenetworks · Bangalore
PRINCIPAL QA SW ENGINEER 10379- Layer2/Layer3 Protocol Testing- Python |Data Center Networking
Extremenetworks · Bangalore
AI PRINCIPAL SW SYSTEMS ENGINEER -10359
Extremenetworks · Remote