Senior AI/ML Engineer (Azure AI Studio & C# Integration)

Compare your skills with our requirements

We are seeking a highly skilled AI/ML Developer with hands-on experience in Azure AI Studio and machine learning model development to join our innovative team. The ideal candidate will have a strong foundation in AI/ML concepts, practical experience with Azure’s AI ecosystem, and the ability to integrate AI models into business applications using C# and .NET technologies.

Must-have

• Develop, fine-tune, and deploy AI/ML models using Azure AI Studio, Azure Machine Learning, AutoML, and ML pipelines.
• Work with pre-trained models (e.g., Azure OpenAI, vision/language models) and custom AI models tailored to business needs.
• Perform data preprocessing, feature engineering, and model performance optimization.
• Integrate trained AI models into existing .NET/C# applications or deploy them as APIs using Azure Functions or other backend services.
• Collaborate with DevOps teams to ensure efficient CI/CD pipelines and model deployment workflows via Azure DevOps.
• Handle ETL processes, manage large datasets, and possibly work with Azure Data Lake, Azure Synapse, or Databricks.

Is a plus

• Proven experience with Azure AI Studio and Azure Machine Learning tools.
• Solid understanding of AI/ML concepts, model training, fine-tuning, and evaluation.
• Proficiency in Python (for ML development) and C# (for application integration).
• Experience deploying ML models as REST APIs or embedding them into enterprise software solutions.
• Strong background in cloud infrastructure, DevOps practices, and CI/CD pipelines.
• Familiarity with ETL processes, data preprocessing, and big data platforms (e.g., Azure Data Lake, Databricks).

What you will do

• Design, build, and deploy AI/ML models using Azure’s ML ecosystem.
• Integrate AI capabilities into .NET-based business applications via C# and Azure Functions.
• Work with pre-trained and custom models to meet real-world business needs.
• Optimize model performance and ensure reliable operation in production environments.
• Collaborate with data engineers, software developers, and DevOps teams to ensure seamless deployment.
• Contribute to a forward-looking AI roadmap in a dynamic and data-driven company.