/MLAI/ML, Azure ML Studio, AI/ML On Databricks, Python & CICD Devo ps.Supervised and unsupervised ML and Predictive Analytics using Pyth on.
- Feature generation through data exploration and SME requiremen ts.
- Relational database queryi ng.
- Applying computational algorithms and statistical methods to structured and unstructured da ta.
- Communicating results through data visualizatio ns.Programming Languages: Python, PySpa rk.
- Big Data Technologies: Spark with PySpa rk.
- Cloud Technologies: Azure (ADF, Databricks, Storage Account Usage, WebApp, Key vault, SQL Server, function app, logic app, Synapse, Azure Machine Learning, Azure DevO ps)• RBAC Maintenance for Azure rol es.
- Github branching and manag ing• Terraform scripting for Azure
IAA• Optional: GCP (Big Query, DataProc, Cloud Stor age
Responsibility of / Expectations from the R
- ole Designing, developing, and deploying AI solutions on the Azure platf