AI Engineer

Cognitive Group | Part of the Focus Cloud Group; Köln; Remote; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading company is seeking a highly skilled freelance AI Engineer to design and develop intelligent solutions using Microsoft technologies. The role involves deploying machine learning models, integrating AI into applications, and collaborating with stakeholders to deliver insights. Ideal candidates will have a strong background in machine learning and experience with Azure services.

Qualifikationen

• Strong background in machine learning, data science, and cloud-based deployment.
• Hands-on experience with Microsoft ecosystem including Azure AI services.

Aufgaben

• Design, train, and deploy machine learning models for business-specific use cases.
• Integrate AI models into Microsoft-based applications using Azure Machine Learning.

Kenntnisse

Python

Machine Learning

Data Science

Ausbildung

Microsoft Certified: Azure AI Engineer Associate

Microsoft Certified: Data Scientist Associate

Tools

Azure Machine Learning

Power Platform

Azure Data Factory

Azure Synapse Analytics

Databricks

Jobbeschreibung

Project Duration : 6 months (with potential for extension)

Location : Berlin, Germany (remote)

Start : Early May

Project Description :

I am looking for a highly skilled freelance AI Engineer to design and develop intelligent solutions leveraging Microsoft technologies.

Strong background in machine learning, data science, and cloud-based deployment, with hands-on experience in the Microsoft ecosystem including Azure AI services , Power Platform , and Microsoft ML tools .

Scope of Work :

• Design, train, and deploy machine learning models for business-specific use cases (e.g., predictive analytics, natural language processing, anomaly detection).
• Integrate AI models into Microsoft-based applications using Azure Machine Learning , Power BI , and Power Apps .
• Build and optimise data pipelines using Azure Data Factory , Azure Synapse Analytics , and Databricks
• Develop and manage APIs for model consumption via Azure Functions or Logic Apps .
• Implement monitoring, versioning, and CI / CD for ML models using Azure DevOps .
• Collaborate with stakeholders to gather requirements and deliver actionable insights.

Required Skills :

• Proficiency in Python and ML libraries (scikit-learn, PyTorch, TensorFlow).
• Experience with Azure Machine Learning Studio , Cognitive Services , and Power Platform .
• Strong grasp of data processing in Azure Data Lake , SQL Server , or Synapse .

Preferred :

• Microsoft Certified : Azure AI Engineer Associate or Data Scientist Associate.
• Experience working in Agile environments.