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

Devops, Bash Scripting, MLops, Agile, Software Engineering, deploying AI services securely and efficiently, CI CD workflows, RAG architectures for LLMs, AI integration, DevOps software development principles, Docker containerization, Python REST APIs

Github, Pig, Devops, Azure Data Factory, Hive, Spark, Databricks, Azure, Exploratory Data Analysis, MLOps automation, ML Ops, Kubeflow, MLFlow, ML model deployment