Software Developer - Innovation

Collaborate with architects and data specialists to integrate ML models into existing SDWAN automation workflows Identify opportunities to apply AI/ML techniques to automate processes, improve decision‑making, and increase system efficiency Hands‑on experience with AI/ML concepts (e.g., predictive analytics, anomaly detection, clustering, automation models) Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit‑Learn) and ability to integrate ML pipelines into production systems Understanding of data engineering workflows and MLOps practices (model training, validation, deployment, monitoring) Demonstrated industry experience in software development: python, APIs (TMforum), unit & integration testing Good experience with DevOps technologies: AWS, docker, Kubernetes, CI/CD pipelines SDWAN automation experience ( VeloCloud, Meraki, Fortinet, Mist) is a plus Experience with relational and non-relational databases Versioning systems (Git) Agile experience (preferably Scrum, SAFe is a plus) Fluent in English (written and spoken)