TL;DR

Cloud Consultant - Data & GenAI Engineer (AI Engineering): Takes technical ownership for AWS cloud-based Data, ML & AI solutions and helps shape Auvaria's growing Data & AI practice with an accent on building and operating end-to-end ML workflows. Focus on deploying and maintaining ML models using AWS SageMaker and implementing Generative and Agentic AI use cases using the AWS ecosystem.

Location: Remote

Company

Auvaria, where passion, team spirit, responsibility, and technical expertise form the basis of our culture.

What you will do

  • Build and operate end-to-end ML workflows.
  • Design and implement modern data architectures and data pipelines.
  • Deploy and maintain ML models using AWS SageMaker.
  • Implement Generative and Agentic AI use cases using the AWS ecosystem (e.g., AWS Bedrock, Strands Agents, S3 Vectors etc.).
  • Guide customers on how to adopt GenAI pragmatically and responsibly.
  • Support pre-sales activities and technical workshops.

Requirements

  • 2-3+ years of experience in cloud, data or ML engineering.
  • Proven 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 English

Nice to have

  • AWS certifications.
  • Experience in pre-sales or technical leadership roles.

Culture & Benefits

  • 4-days-week (36h) with full focus on impact.
  • Remote-friendly setup with limited travel (max. 25%).
  • Regular team & afterwork events in Vienna, Hamburg, Belgrade and virtually
  • Fast & transparent hiring process (max. 3 interview rounds, 1 interview in person, typically max. 4 weeks from application to offer)
  • Structured onboarding
  • Fully funded AWS certifications