AIML Engineer

Competencies (Technical / Behavioral Competency)

Must-Have

(Ideally should not be

more than 3-5) AI / ML, Azure ML Studio, AI / ML On Databricks, Python & CICD Devops. Supervised and unsupervised ML and Predictive Analytics using Python

• Feature generation through data exploration and SME requirements
• Relational database querying
• Applying computational algorithms and statistical methods to structured and unstructured data
• Communicating results through data visualizations Programming Languages : Python, PySpark
• Big Data Technologies : Spark with PySpark
• Cloud Technologies : Azure (ADF, Databricks, Storage Account Usage, WebApp, Key vault, SQL Server, function app, logic app, Synapse, Azure Machine Learning, Azure DevOps)
• RBAC Maintenance for Azure roles.
• Github branching and managing
• Terraform scripting for Azure IAA
• Optional : GCP (Big Query, DataProc, Cloud Storage

Good-to-Have

SN Responsibility of / Expectations from the Role

1 Designing, developing, and deploying AI solutions on the Azure platform