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Staff Machine Learning Engineer – Gen AI, Machine Learning, Graph ML, Big Data
Extreme NetworksStaff Machine Learning Engineer at Extreme Networks focusing on AI solutions and intelligent network management. Involves design and development with advanced machine learning technologies.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Generative AI solutions, including AI Agents and LLM fine-tuning, while leading the design and architecture of large distributed systems on cloud platforms. Proficient in Python and modern software development practices, with a strong focus on building intelligent multi-agent systems.
Highest-signal resume keywords
Python ProgrammingRESTful API DesignDockerKubernetesCloud Platform Architecture
ATS Keywords
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Hard Skills
Software Development LifecycleCode ReviewsTestingBuild ProcessesDeploymentsData MiningAnomaly DetectionLLM Fine-TuningFastAPIMulti-Agent Systems
Soft Skills
MentoringTeam Leadership
Tools & Technologies
DockerKubernetesAWSAzureGoogle Cloud
Industry Keywords
Generative AIKnowledge BasesReal-Time SystemsDistributed SystemsCI/CD Practices
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsDockerKubernetesPython
About the role
Key responsibilities & impact- Oversee platforms and solutions for Generative AI including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning.
- Drive a fundamental shift in how businesses manage networks by building intelligent multi-agent systems that perceive, learn, and act in real time.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- We encourage people from underrepresented groups to apply.
- Flexible work arrangements