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

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

.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

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

Elk, Prometheus, Apache Spark, Grafana, Sso, Python, Kubernetes, Kubernetes RBAC, HashiCorp Vault, MLflow, OPA Gatekeeper, OpenSearch, Fluentd, Kubeflow, KServe, Keycloak

data engineering , Prometheus, Grafana, Devops, Backend Development, Docker, Terraform, automation, Python, AWS, Weights Biases, Airflow, orchestration tools, Anyscale Ray, MLflow, ML-Ops, infrastructure-as-code tools, job schedulers, experiment tracking tools, model monitoring tools

data engineering , MLops, Gcp, Azure, AWS, LLM fine-tuning, Vector databases, Pipeline optimization, Ai, ML systems, Building PoC

MLops, Docker, Crew, AIML, Flow, ML Deployment