MLOPS Professional

Hands-on experience with Azure Machine Learning, Databricks, and Azure DevOps.
Strong knowledge of MLOps, including data drift, model drift, and model performance monitoring using MLflow.
Expert in DevOps practices, including CI/CD pipelines and automation.
In depth experience with Kubernetes and containerized applications.
Familiarity with data engineering concepts and ETL processes.
Experience managing data science projects and collaborating with cross-functional teams.
Proficient in Python, Bash, or PowerShell for scripting and automation.
Hands on experience with public cloud platforms, preferably Azure.Strong background in managing AI/ML environments and optimizing performance using MLflow