Devoteam
Azure AI Engineer(m/w/x)
Vollzeit
mit Homeoffice
Berufserfahren
Keine Angabe
Frankfurt am Main
DE
Devoteam11 Tage
Microsoft Azure AI Engineer(m/w/x)
Vollzeit
mit Homeoffice
Berufserfahren
AI/ML Job
Data Science
Keine Angabe
Frankfurt am Main
Nejo KI-Zusammenfassung
As an Azure AI Engineer, you will develop and implement AI/ML models to address business challenges, deploy solutions on Azure, and collaborate with a cross-functional team. This role involves data preparation, model tuning, and integrating AI services to enhance project outcomes.
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Anforderungen
- •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
Bachelor-Abschluss
ODER
Abgeschlossene Berufsausbildung
Berufserfahrung
3–6 Jahre
Deine Aufgaben
- •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
Tools & Technologien
PythonRC#Scikit-learnTensorFlowPyTorchAzureAzure Machine LearningAzure DatabricksHDInsightSQLAzure AI Foundry
Sprachen
Deutsch – verhandlungssicher
Englisch – verhandlungssicher
Deine Vorteile
Modernes Büro
- •Modern offices in prime locations
Flexibles Arbeiten
- •Flexible hybrid working
Weiterbildungsangebote
- •Certified trainings and language courses
- •International development opportunities
Snacks & Getränke
- •Gaming lounge
Team Events & Ausflüge
- •Get-together parties and team events
Boni & Prämien
- •Employee referral bonuses
Moderne Technikausstattung
- •Modern IT equipment
Mitarbeiterrabatte
- •Corporate benefits
Firmenfahrrad
- •Company bike offer
Betriebliche Altersvorsorge
- •Company pension scheme
Mentoring & Coaching
- •Integration Day with mentoring programs
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Devoteam erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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