Ai Ml Engineer

Key Responsibilities:

• Design, develop, and deploy AI/ML solutions on the Azure platform.
• Implement supervised and unsupervised machine learning models and predictive analytics using Python.
• Perform feature generation through data exploration and subject matter expert (SME) requirements.
• Query and manipulate relational databases for data extraction and analysis.
• Apply computational algorithms and statistical methods to both structured and unstructured data.
• Communicate analytical results effectively using data visualizations.
• Utilize Big Data technologies like Spark with PySpark for scalable data processing.
• Manage Azure resources including RBAC roles, storage accounts, web apps, key vault, SQL Server, function apps, logic apps, Synapse, Azure Machine Learning, and DevOps pipelines.
• Implement CI/CD processes using Azure DevOps.
• Manage version control and branching strategies using GitHub.
• Write Terraform scripts for Azure Infrastructure-as-Code (IaC).
• Optional: Work with GCP services such as BigQuery, Dataproc, and Cloud Storage.