Rust, MLops, Linux, Bash, Python, Kubernetes, deep learning frameworks, AI infrastructure, advanced networking, Go, distributed filesystems, GitOps workflows

REST API., Nosql, Git, Sql, CI/CD pipelines, MLOps technologies

Tensorflow, MLops, Pytorch, Pandas, Python, Data DevOps

Power Bi, Tableau, Sql, Azure ML, Git, Databricks, Deployment Tracking, MLflow, MLOps processes and tools, Lineage, Production support practices, versioning, Model Registry, Reproducibility, Telecommunications environment, Cloud ML platforms, Monitoring