The AI Job Search Engine
Senior Microsoft Azure AI Engineer(m/w/x)
Designing and implementing end-to-end AI solutions for enterprise clients, leveraging Azure Machine Learning and Databricks. 5+ years AI/ML engineering experience with Azure AI Foundry for LLM-based apps required. Flexible hybrid work, gaming lounge.
Requirements
- 5+ years of hands-on experience in AI/ML engineering or data science roles
- Fluency in German and English
- Strong experience with the Azure AI/Data ecosystem
- Experience using Azure AI Foundry for building LLM-based applications
- Proficiency in Python and common ML/DL libraries
- Practical understanding of MLOps and model lifecycle management
- Exposure to Large Language Models or other generative AI technologies
- Strong problem-solving skills and good communication skills
- Azure and data/AI certifications are highly regarded
- Bachelor’s degree in Computer Science, Engineering, or related field
Tasks
- Design and implement end-to-end AI solutions on Azure
- Develop machine learning models, including predictive algorithms and classification
- Integrate machine learning models into cloud applications
- Write code in Python to build and train models
- Leverage Azure Machine Learning and Azure Databricks for model development
- Build and deploy intelligent applications using Azure AI Foundry
- Implement GenAI workflows independently using Foundry
- Develop Generative AI solutions for clients
- Experiment with large language model applications using Azure OpenAI Service
- Build conversational agents and summarization services using frameworks like LangChain
- Ensure robust prompt engineering and fine-tuning of models
- Utilize Azure Cognitive Services to accelerate solution development
- Integrate Azure Cognitive Search for semantic search capabilities
- Combine Azure services with custom ML to meet client needs
- Deploy and operationalize ML models effectively
- Containerize models and set up CI/CD pipelines for automated deployment
- Implement monitoring for model performance drift
- Collaborate with Data Engineers to ensure data availability and reliability
- Contribute to data pipeline design for machine learning
- Collaborate with Solution Architects to translate designs into implementation tasks
- Participate in code reviews and knowledge sharing within the team
- Support client teams in adopting AI solutions
- Prepare technical documentation and demo functionalities to stakeholders
- Iterate on models based on user feedback and changing requirements
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Azure Machine Learning
- Azure Databricks
- Azure Cognitive Services
- Azure OpenAI
- MLflow
- Docker
- Kubernetes
- LangChain
- Hugging Face Transformers
Benefits
Modern Office
- Modern offices
Flexible Working
- Flexible hybrid working
Learning & Development
- Certified trainings and language courses
- International development opportunities
- Support for certifications
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
- "Jobrad" (company bike) offer
Retirement Plans
- Company pension scheme
Mentorship & Coaching
- Integration Day with mentoring programs
Not a perfect match?
- DevoteamFull-timeWith HomeofficeSeniorFrankfurt am Main
- Devoteam
Microsoft Azure AI Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedFrankfurt am Main - Devoteam
Azure AI Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedFrankfurt am Main - Devoteam
Senior Microsoft Azure AI/ML Architect(m/w/x)
Full-timeWith HomeofficeManagementFrankfurt am Main - paiqo GmbH
Senior AI Engineer - Agentic AI Platform(m/w/x)
Full-timeWith HomeofficeSeniorPaderborn, Frankfurt am Main
Senior Microsoft Azure AI Engineer(m/w/x)
Designing and implementing end-to-end AI solutions for enterprise clients, leveraging Azure Machine Learning and Databricks. 5+ years AI/ML engineering experience with Azure AI Foundry for LLM-based apps required. Flexible hybrid work, gaming lounge.
Requirements
- 5+ years of hands-on experience in AI/ML engineering or data science roles
- Fluency in German and English
- Strong experience with the Azure AI/Data ecosystem
- Experience using Azure AI Foundry for building LLM-based applications
- Proficiency in Python and common ML/DL libraries
- Practical understanding of MLOps and model lifecycle management
- Exposure to Large Language Models or other generative AI technologies
- Strong problem-solving skills and good communication skills
- Azure and data/AI certifications are highly regarded
- Bachelor’s degree in Computer Science, Engineering, or related field
Tasks
- Design and implement end-to-end AI solutions on Azure
- Develop machine learning models, including predictive algorithms and classification
- Integrate machine learning models into cloud applications
- Write code in Python to build and train models
- Leverage Azure Machine Learning and Azure Databricks for model development
- Build and deploy intelligent applications using Azure AI Foundry
- Implement GenAI workflows independently using Foundry
- Develop Generative AI solutions for clients
- Experiment with large language model applications using Azure OpenAI Service
- Build conversational agents and summarization services using frameworks like LangChain
- Ensure robust prompt engineering and fine-tuning of models
- Utilize Azure Cognitive Services to accelerate solution development
- Integrate Azure Cognitive Search for semantic search capabilities
- Combine Azure services with custom ML to meet client needs
- Deploy and operationalize ML models effectively
- Containerize models and set up CI/CD pipelines for automated deployment
- Implement monitoring for model performance drift
- Collaborate with Data Engineers to ensure data availability and reliability
- Contribute to data pipeline design for machine learning
- Collaborate with Solution Architects to translate designs into implementation tasks
- Participate in code reviews and knowledge sharing within the team
- Support client teams in adopting AI solutions
- Prepare technical documentation and demo functionalities to stakeholders
- Iterate on models based on user feedback and changing requirements
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Azure Machine Learning
- Azure Databricks
- Azure Cognitive Services
- Azure OpenAI
- MLflow
- Docker
- Kubernetes
- LangChain
- Hugging Face Transformers
Benefits
Modern Office
- Modern offices
Flexible Working
- Flexible hybrid working
Learning & Development
- Certified trainings and language courses
- International development opportunities
- Support for certifications
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
- "Jobrad" (company bike) offer
Retirement Plans
- Company pension scheme
Mentorship & Coaching
- Integration Day with mentoring programs
About the Company
Devoteam
Industry
IT
Description
Das Unternehmen ist auf cloudbasierte Enterprise Kundenprojekte spezialisiert und setzt modernste Microsoft Technologien ein.
Not a perfect match?
- Devoteam
Senior Microsoft Azure AI/ML Architect(m/w/x)
Full-timeWith HomeofficeSeniorFrankfurt am Main - Devoteam
Microsoft Azure AI Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedFrankfurt am Main - Devoteam
Azure AI Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedFrankfurt am Main - Devoteam
Senior Microsoft Azure AI/ML Architect(m/w/x)
Full-timeWith HomeofficeManagementFrankfurt am Main - paiqo GmbH
Senior AI Engineer - Agentic AI Platform(m/w/x)
Full-timeWith HomeofficeSeniorPaderborn, Frankfurt am Main