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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
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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
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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