Azure AI & Machine Learning Engineer DACH Region

M365Connect; Hamburg; Remote; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading AI solutions provider is seeking an Azure AI & Machine Learning Engineer to develop and deploy scalable AI solutions using Azure technologies. This remote role involves collaborating with data scientists, automating model deployment, and ensuring compliance with data policies. Ideal candidates will have strong experience with Azure AI services, proficiency in Python or R, and a collaborative mindset. Join us to shape digital transformation in Germany.

Leistungen

Support for professional development and AI certifications

Flexible remote work

Engage with AI-driven projects

Qualifikationen

• Strong experience with Azure AI services and machine learning frameworks.
• 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.

Aufgaben

• Build and deploy machine learning models using Azure Machine Learning Studio.
• Utilize Azure Cognitive Services for natural language processing and computer vision.
• Develop scalable data workflows supporting AI pipelines.

Kenntnisse

Azure AI services

TensorFlow

PyTorch

Python

R

Azure Data Lake

Cosmos DB

SQL DB

Jobbeschreibung

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.

Key Responsibilities

• 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.

Required Skills & Qualifications

• 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.

Benefits & Opportunities with M365Connect

• 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.

Next Steps

Ignite the future with AI mastery. Join M365Connect today and elevate AI solutions that transform business realities.