The company is looking to develop and deploy AI models and integrate them into Microsoft-based applications, requiring assistance in data engineering and operationalizing AI solutions using Azure technologies.
Requirements
- Familiarity with Microsoft Azure, especially services like Azure Machine Learning, Azure Cognitive Services, or Azure Data Factory.
- Proficiency in Python and/or C-Sharp, with experience using libraries such as scikit-learn, TensorFlow, or ML.NET.
- Experience with Visual Studio, VS Code, or Azure Data Studio.
- Exposure to Azure Synapse, Azure Databricks, or Power BI.
- Experience with Power Platform tools (Power Apps, Power Automate) for AI integration.
- Familiarity with GitHub Copilot, Azure AI Studio, or Azure OpenAI Service.
- Understanding of data governance, model monitoring, and responsible AI principles.
Responsibilities
- Assist in developing and deploying AI models using Azure Machine Learning, Azure Cognitive Services, and Azure OpenAI.
- Support data engineering tasks such as data ingestion, transformation, and pipeline development using Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.
- Collaborate with software engineers and data scientists to integrate AI models into Microsoft-based applications (e.g., .NET, Power Platform).
- Participate in model evaluation, performance tuning, and responsible AI practices.
- Contribute to documentation, testing, and version control using Azure DevOps and GitHub.
Other
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
- Strong analytical, communication, and collaboration skills.
