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Microsoft Azure AI Engineer(m/w/x)
Developing natural language solutions like chatbots and document classifiers for enterprise cloud projects using Azure ML. 3-6 years AI/ML solution development experience and German/English fluency required. Gaming lounge, flexible hybrid working.
Requirements
- 3–6 years of experience developing AI or machine learning solutions
- Fluency in German and English
- Proficiency in Python; familiarity with R or C# is a plus
- Solid understanding of machine learning algorithms and workflows
- Experience with Scikit-learn; exposure to TensorFlow or PyTorch is nice to have
- Hands-on experience with Azure cloud services
- Experience with Azure Machine Learning, Databricks, or HDInsight
- Comfortable working with databases and writing SQL
- Experience in handling data pipelines or ETL processes
- Exposure to Azure AI Foundry is a plus
- Strong analytical thinking and problem-solving ability
- Good communication and teamwork skills
- Proactive about learning new tools and techniques
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field
- Willingness to pursue relevant certifications
Tasks
- Develop and implement AI/ML models
- Train predictive models for business problems
- Create natural language solutions like document classifiers and chatbots
- Use Azure Machine Learning for experiment tracking and model management
- Write code in Python and SQL for data processing and model training
- Deploy AI solutions on Azure cloud infrastructure
- Set up Azure ML workspaces and Azure Functions for hosting models
- Create Azure Data Factory pipelines for data movement
- Ensure deployment follows security and compliance guidelines
- Collaborate with data engineers to gather and prepare datasets
- Contribute to data preprocessing and write transformation scripts
- Define features and handle data quality issues
- Utilize PySpark and SparkSQL for large-scale data processing
- Conduct experiments to improve model performance
- Tune hyperparameters and evaluate model results
- Leverage Azure ML pipelines to automate training runs
- Integrate Azure Cognitive Services for pre-built AI capabilities
- Implement MLOps practices for model management
- Create release pipelines and set up monitoring for performance
- Document work thoroughly for maintainability and knowledge transfer
- Collaborate in a cross-functional team and participate in design discussions
Work Experience
- 3 - 6 years
Education
- Vocational certificationOR
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- R
- C#
- Scikit-learn
- TensorFlow
- PyTorch
- Azure
- Azure Machine Learning
- Azure Databricks
- HDInsight
- SQL
- Azure AI Foundry
Benefits
Modern Office
- Modern offices in prime locations
Flexible Working
- Flexible hybrid working
Learning & Development
- Certified trainings and language courses
- International development opportunities
Snacks & Drinks
- Gaming lounge
Team Events
- Get-together parties and team events
Bonuses & Incentives
- Employee referral bonuses
Modern Equipment
- Modern IT equipment
Corporate Discounts
- Corporate benefits
Company Bike
- Company bike offer
Retirement Plans
- Company pension scheme
Mentorship & Coaching
- Integration Day with mentoring programs
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Microsoft Azure AI Engineer(m/w/x)
Developing natural language solutions like chatbots and document classifiers for enterprise cloud projects using Azure ML. 3-6 years AI/ML solution development experience and German/English fluency required. Gaming lounge, flexible hybrid working.
Requirements
- 3–6 years of experience developing AI or machine learning solutions
- Fluency in German and English
- Proficiency in Python; familiarity with R or C# is a plus
- Solid understanding of machine learning algorithms and workflows
- Experience with Scikit-learn; exposure to TensorFlow or PyTorch is nice to have
- Hands-on experience with Azure cloud services
- Experience with Azure Machine Learning, Databricks, or HDInsight
- Comfortable working with databases and writing SQL
- Experience in handling data pipelines or ETL processes
- Exposure to Azure AI Foundry is a plus
- Strong analytical thinking and problem-solving ability
- Good communication and teamwork skills
- Proactive about learning new tools and techniques
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field
- Willingness to pursue relevant certifications
Tasks
- Develop and implement AI/ML models
- Train predictive models for business problems
- Create natural language solutions like document classifiers and chatbots
- Use Azure Machine Learning for experiment tracking and model management
- Write code in Python and SQL for data processing and model training
- Deploy AI solutions on Azure cloud infrastructure
- Set up Azure ML workspaces and Azure Functions for hosting models
- Create Azure Data Factory pipelines for data movement
- Ensure deployment follows security and compliance guidelines
- Collaborate with data engineers to gather and prepare datasets
- Contribute to data preprocessing and write transformation scripts
- Define features and handle data quality issues
- Utilize PySpark and SparkSQL for large-scale data processing
- Conduct experiments to improve model performance
- Tune hyperparameters and evaluate model results
- Leverage Azure ML pipelines to automate training runs
- Integrate Azure Cognitive Services for pre-built AI capabilities
- Implement MLOps practices for model management
- Create release pipelines and set up monitoring for performance
- Document work thoroughly for maintainability and knowledge transfer
- Collaborate in a cross-functional team and participate in design discussions
Work Experience
- 3 - 6 years
Education
- Vocational certificationOR
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- R
- C#
- Scikit-learn
- TensorFlow
- PyTorch
- Azure
- Azure Machine Learning
- Azure Databricks
- HDInsight
- SQL
- Azure AI Foundry
Benefits
Modern Office
- Modern offices in prime locations
Flexible Working
- Flexible hybrid working
Learning & Development
- Certified trainings and language courses
- International development opportunities
Snacks & Drinks
- Gaming lounge
Team Events
- Get-together parties and team events
Bonuses & Incentives
- Employee referral bonuses
Modern Equipment
- Modern IT equipment
Corporate Discounts
- Corporate benefits
Company Bike
- Company bike offer
Retirement Plans
- Company pension scheme
Mentorship & Coaching
- Integration Day with mentoring programs
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Devoteam
Industry
IT
Description
Das Unternehmen ist auf cloudbasierte Enterprise Kundenprojekte spezialisiert und setzt modernste Microsoft Technologien ein.
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