Senior Cloud Consultant - Data & AI Engineer , 4-Days-Week), German Speaking
Role details
Job location
Tech stack
Job description
Architecture & Delivery
- Design scalable AWS architectures for data platforms and ML workloads as well as GenAI solutions
- Lead the implementation and operation of data pipelines, MLOps setups and GenAI solutions Ensure security, performance and reliability in production environments
Data, MLOps & GenAI
- Build and operate end-to-end ML workflows
- Deploy and maintain ML models using AWS SageMaker
- Implement Generative AI use cases using AWS Bedrock Guide customers on how to use GenAI pragmatically and responsibly
Consulting & Pre-Sales
- Act as a trusted technical advisor for customers
- Support pre-sales activities and technical workshops
- Translate complex technical concepts into clear business value
- Knowledge Sharing
- Mentor junior colleagues
- Contribute to internal standards, best practices and trainings
Requirements
Welcome to Auvaria, where passion, team spirit, responsibility, and courage form the basis of our culture.
We are looking for a motivated and solution-oriented team player (f/m/d) with a feeling for individual customer requirements and a strong hands-on mentality. As a Senior Cloud Consultant - Data & AI Engineer, you take technical ownership for AWS cloud-based Data, ML & AI solutions and you will help shape Auvaria's growing Data & AI practice., * 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
Nice-to-haves
- AWS certifications
- Experience with Generative AI projects
- Experience in pre-sales or technical leadership roles
Benefits & conditions
At Auvaria, you can expect more than just a job. We offer you an attractive working environment with many benefits that promote your career and enrich your private life:
- 4-days-week (36h) with full focus on impact
- Fast & transparent hiring process (max. 3 interview rounds, typically max. 4 weeks from application to offer)
- Personal mentoring & structured onboarding
- Fully funded AWS certifications
- Remote-friendly setup with limited travel (max. 25%)
- Regular team & afterwork events in Vienna, Hamburg, Belgrade and virtual
