Teams at VIAVI Solutions

Lead and manage software engineering teams to deliver next-gen SaaS products and platforms. Own full project lifecycle, drive quality processes, architecture and deployments, mentor engineers, coordinate cross-functional delivery, and implement continuous improvement. Ensure use of best practices, code reviews, and timely releases within budget and KPIs.

Entry-level ML internship to develop, evaluate, and deploy ML/DL models for telecom network monitoring. Responsibilities include end-to-end MLOps (Kubeflow, MLflow, Kserve), model implementation (TensorFlow, PyTorch, Keras), distributed data processing (PySpark, Kafka), EDA, feature engineering, transformer/LLM work, and collaboration with cross-functional teams.

Entry-level machine learning role to develop, implement, and deploy ML/DL models and MLOps pipelines for telecom network monitoring. Tasks include data preprocessing, feature engineering, time-series and text analysis, experimentation with algorithms (including transformer/LLM architectures), model deployment using Kubeflow/MLflow/KServe, and working with distributed systems (PySpark, Kafka). Collaborate with cross-functional teams and iterate models based on feedback.