Github, BigQuery, Google Cloud Platform, Cloud Storage, Jenkins, Git, MLops, Terraform, Python, Logging, Alerting, Cloud Build, CI CD, Cloud Monitoring, Pub Sub, GitHub Actions, Model Monitoring, ML Lifecycle Management, Model Deployment, Vertex AI, GitLab CI CD, Infrastructure-as-Code

Prometheus, Elk Stack, Artifactory, Grafana, Docker, Gitlab, Kubernetes, Python, AWS, TensorFlow Serving, Gitflow, TorchServe, ML frameworks

Aws Lambda, Python Automation, Cloudformation, Jenkins, Git, MLops, Docker, Terraform, Databricks, Training Pipelines, Feature Store, MLflow, Kubernetes EKS, Model Retraining, SageMaker, Model Monitoring, Drift Detection, Model Deployment, Kubeflow, Inference Pipelines, CI CD for ML

Tensorflow, Gcp, Pytorch, Docker, Azure, Kubernetes, Python, AWS, Scikit-learn

MLops, Spark, Databricks, Python, ML platform engineering, Airflow, workflow orchestration, Kubeflow, Delta Lake, MLflow, Metaflow

Docker, Azure, Helm, Kubernetes, CI CD Pipelines, Observability Monitoring, GitOps, Azure OpenAI, Service Reliability Engineering Practices, Kubeflow, ArgoCD, LLM-Based Services, Azure AI Search, RAG Architectures

.NET, Logging, Dashboards, Rest Apis, Python, Azure DevOps, audit logging, Generative AI, tracing, LLMOps, secure release practices, cloud deployment patterns, Monitoring, Azure OpenAI, alerting, GitHub Actions, OpenAI APIs, Access Control, Azure AI services, approval workflows, operational metrics

Docker, Databricks, Azure, Kubernetes, Python, Sql, ML Deployment Architecture, CI CD, Containerisation

Apache Airflow, Github, Terraform, Python, AWS, MLflow, Ray, Kubernetes EKS

Gcp, Docker, Azure, Kubernetes, Python, Linux Administration, AWS, R, Domino Data Lab