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Azure AI & Machine Learning Engineer DACH Region
Job summary
A tech consulting firm is seeking an Azure AI & Machine Learning Engineer to design and deploy AI solutions remotely. The role involves collaborating with teams to integrate models and automate processes. Candidates should have strong experience with Azure AI services, proficiency in Python, and a collaborative mindset. Benefits include support for professional development and a flexible remote work environment.
Benefits
Qualifications
- Strong experience with Azure AI services and machine learning frameworks.
- Proficiency in Python, R, or similar languages.
- Knowledge of cloud data services including Azure Data Lake and Cosmos DB.
- Experience in agile teams with cross-functional roles.
Responsibilities
- Design, develop, and deploy scalable AI and machine learning solutions.
- Collaborate with data scientists to integrate predictive models.
- Monitor models in production for performance and compliance.
- Automate retraining and deployment processes.
Skills
Tools
Azure AI & Machine Learning Engineer DACH Region
Location: Remote
About M365Connect:
M365Connect bridges cutting-edge AI talent with enterprises implementing intelligent cloud solutions. We support your growth in this rapidly evolving, impactful field.
Job Description:
Design, develop, and deploy scalable AI and machine learning solutions using Azure Cognitive Services, Azure Machine Learning, and other Azure data tools. Collaborate with data scientists and developers to integrate predictive models into enterprise applications and workflows.
You will contribute to data pipelines, model training and evaluation, and assist in operationalizing AI solutions following best practices in data governance and security.
- Build and deploy machine learning models using Azure Machine Learning Studio and SDKs.
- Utilize Azure Cognitive Services for natural language processing, computer vision, and speech recognition integration.
- Develop scalable data workflows that support AI pipelines with Azure Data Factory and Databricks.
- Collaborate with data scientists and engineers in agile teams to transform data into actionable intelligence.
- Monitor models in production to ensure performance, fairness, and compliance with data policies.
- Automate retraining and deployment processes using CI/CD pipelines.
- Participate in security reviews and enforce GDPR/DSGVO compliance in data handling.
- Document AI architecture, model frameworks, and usage guidelines.
- Strong experience with Azure AI services and machine learning frameworks (TensorFlow, PyTorch).
- Proficiency in Python, R, or similar languages used in data science and ML development.
- Knowledge of cloud data services including Azure Data Lake, Cosmos DB, and SQL DB.
- Familiarity with model deployment, monitoring, and lifecycle management in the cloud.
- Collaborative mindset and experience working in agile teams with cross-functional roles.
- Excellent problem-solving and communication skills.
- Engage with AI-driven projects shaping digital transformation in Germany.
- Support for professional development and AI certifications.
- Flexible remote work aligning with your style of innovation.
- Be part of an innovation-focused professional community.
Ignite the future with AI mastery. Join M365Connect today and elevate AI solutions that transform business realities.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.