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Tier-1 employer, mid-level generalist role, metro location, and common Python/Go/ML skills increase competition.
Requires ML plus networking domain knowledge, limiting cross-industry transferability to some extent.
Explicit 3–6 years plus required Python/Go and AI/ML production experience creates high shortlisting strictness.
Design and develop software solutions focused on network monitoring, troubleshooting, and performance management using Golang and Python.
Implement AI/ML-driven analytics including models for anomaly detection, predictive maintenance, and intelligent automation of network operations.
Collaborate with cross-functional teams, contribute to API design, and participate in code reviews ensuring efficient, scalable, and maintainable code.
Bachelor's or Master's degree in Computer Science, Data Science, or equivalent technical field.
3-6 years of relevant experience in software development primarily using Python and Golang.
Strong knowledge of distributed systems, networking, databases, operating systems, and API design.
Must be willing and able to work onsite at an HPE office (Onsite role).
Experience applying AI/ML techniques specifically in networking environments, such as traffic prediction and anomaly detection.
Proficiency in building and deploying AI/ML models within production systems and data pipelines.
Familiar with containerization and orchestration tools like Docker, Kubernetes, and automation/CI-CD tools such as Ansible, Helm, Jenkins.