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Senior Cloud Consultant - Data & AI Engineer(m/w/x)
Designing scalable AWS architectures for client data platforms and MLOps setups, deploying models via SageMaker. 4+ years in cloud, data, or ML engineering with strong AWS expertise required. 4-day work week, fully funded AWS certifications.
Requirements
- 4+ years of experience in cloud, data, or ML engineering
- Strong hands-on expertise with AWS
- Solid experience in data engineering and ETL architectures
- Practical MLOps experience (model deployment, monitoring, lifecycle)
- Very good Python skills
- Proven experience with IaC (Terraform or comparable)
- Fluent in German and English
- Consulting or customer-facing project experience
- AWS certifications
- Experience with Generative AI projects
- Experience in pre-sales or technical leadership roles
Tasks
- Design scalable AWS architectures for data platforms and ML workloads
- Lead implementation and operation of data pipelines and MLOps setups
- Ensure security, performance, and reliability in production environments
- Build and operate end-to-end ML workflows
- Deploy and maintain ML models using AWS SageMaker
- Implement Generative AI use cases with AWS Bedrock
- Guide customers on pragmatic and responsible GenAI usage
- Act as a trusted technical advisor for customers
- Support pre-sales activities and technical workshops
- Translate complex technical concepts into clear business value
- Mentor junior colleagues
- Contribute to internal standards, best practices, and training
Work Experience
- 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- AWS
- Terraform
- Python
Benefits
Flexible Working
- 4-days work week
- Remote-friendly setup
Mentorship & Coaching
- Personal mentoring
- Structured onboarding
Learning & Development
- Fully funded AWS certifications
Team Events
- Regular team events
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- Auvaria Technology GmbHFull-timeWith HomeofficeSeniorWien, Hamburg
- Auvaria
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Senior Cloud Consultant - Data & AI Engineer(m/w/x)
Designing scalable AWS architectures for client data platforms and MLOps setups, deploying models via SageMaker. 4+ years in cloud, data, or ML engineering with strong AWS expertise required. 4-day work week, fully funded AWS certifications.
Requirements
- 4+ years of experience in cloud, data, or ML engineering
- Strong hands-on expertise with AWS
- Solid experience in data engineering and ETL architectures
- Practical MLOps experience (model deployment, monitoring, lifecycle)
- Very good Python skills
- Proven experience with IaC (Terraform or comparable)
- Fluent in German and English
- Consulting or customer-facing project experience
- AWS certifications
- Experience with Generative AI projects
- Experience in pre-sales or technical leadership roles
Tasks
- Design scalable AWS architectures for data platforms and ML workloads
- Lead implementation and operation of data pipelines and MLOps setups
- Ensure security, performance, and reliability in production environments
- Build and operate end-to-end ML workflows
- Deploy and maintain ML models using AWS SageMaker
- Implement Generative AI use cases with AWS Bedrock
- Guide customers on pragmatic and responsible GenAI usage
- Act as a trusted technical advisor for customers
- Support pre-sales activities and technical workshops
- Translate complex technical concepts into clear business value
- Mentor junior colleagues
- Contribute to internal standards, best practices, and training
Work Experience
- 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- AWS
- Terraform
- Python
Benefits
Flexible Working
- 4-days work week
- Remote-friendly setup
Mentorship & Coaching
- Personal mentoring
- Structured onboarding
Learning & Development
- Fully funded AWS certifications
Team Events
- Regular team events
About the Company
Auvaria
Industry
Consulting
Description
The company is an award-winning consulting and engineering firm specializing in cloud transformation and digital transformation.
Not a perfect match?
- Auvaria Technology GmbH
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