DevOps Enginee

Key Skills:
DevOps + MLOps
Python
AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Apache Spark
Docker, Kubernetes
CI/CD pipelines
Infrastructure automation (Ansible)
Monitoring tools (Prometheus, Grafana, ELK, OpenTelemetry)
Responsibilities include:
Building and deploying ML pipelines
Managing ML model lifecycle in production
Large-scale data processing with Spark
Implementing observability and automation across ML systems