TL;DR
Senior Cloud Consultant - Data & GenAI Engineer (AI): Building and operating end-to-end ML workflows and modern data architectures for AWS cloud-based solutions with an accent on GenAI use cases and MLOps. Focus on designing and implementing data pipelines, deploying and maintaining ML models, and guiding customers on GenAI adoption.
Location: Remote-friendly setup with limited travel (max. 25%). Regular team & afterwork events take place in Hamburg, Vienna, Belgrade and virtually.
Company
hirify.global is a company focused on providing AWS cloud-based Data, ML & AI solutions to customers.
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).
- Act as a trusted technical advisor for customers and support pre-sales activities.
- Mentor junior colleagues and contribute to internal standards, best practices, and trainings.
Requirements
- 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.
- Consulting or customer-facing project experience.
- Experience with Generative AI projects.
Nice to have
- AWS certifications.
- German skills.
- Experience in pre-sales or technical leadership roles.
Culture & Benefits
- 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).
- Structured onboarding.
- Fully funded AWS certifications.
- Remote-friendly setup with limited travel (max. 25%).
- Regular team & afterwork events in Vienna, Hamburg, Belgrade and virtually.
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