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Experienced AI/ML-Ops Engineer(m/w/x)
Architecting centralized AI platform on GCP with Vertex AI, GKE, BigQuery; building self-service frameworks for AI agents and RAG systems at consumer electronics retailer. 3-5+ years Software Engineering or DevOps experience with deep GCP, Vertex AI, BigQuery expertise required. 30 days vacation, subsidized company pension plan.
Requirements
- 3-5+ years Software Engineering or DevOps experience
- Specialization in ML/AI Ops and cloud-scale infrastructure
- Deep hands-on Google Cloud Platform experience
- Expertise in Vertex AI and BigQuery
- Strong Python and Infrastructure-as-Code proficiency
- Experience with Kubernetes and Docker
- Knowledge of LangChain, LangGraph, and ADK
- Ability to operationalize agentic workflows at scale
- Familiarity with AI safety tools
- Mindset for secure and compliant AI systems
- Ability to build monitoring for non-deterministic systems
- Excellent English skills
- Ability to translate requirements into documentation
Tasks
- Architect a centralized AI platform using Vertex AI, GKE, and BigQuery
- Design a scalable and secure GCP-based ecosystem
- Implement automated guardrails for LLM security and compliance
- Build self-service frameworks for AI agents and RAG systems
- Develop automated CI/CD/CT pipelines for model deployment
- Establish observability solutions to monitor performance and drift
- Advise internal teams on scaling AI solutions
- Create standardized golden paths for independent tech deployment
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- GCP
- Vertex AI
- BigQuery
- Python
- Terraform
- Kubernetes
- GKE
- Docker
- LangChain
- LangGraph
- Google Agent Development Kit (ADK)
- NeMo Guardrails
Benefits
More Vacation Days
- 30 days vacation
Retirement Plans
- Subsidized company pension plan
Corporate Discounts
- Employees discount
Healthcare & Fitness
- Fitness Collaborations
Learning & Development
- Training & Education
Flexible Working
- Mobile work
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Experienced AI/ML-Ops Engineer(m/w/x)
Architecting centralized AI platform on GCP with Vertex AI, GKE, BigQuery; building self-service frameworks for AI agents and RAG systems at consumer electronics retailer. 3-5+ years Software Engineering or DevOps experience with deep GCP, Vertex AI, BigQuery expertise required. 30 days vacation, subsidized company pension plan.
Requirements
- 3-5+ years Software Engineering or DevOps experience
- Specialization in ML/AI Ops and cloud-scale infrastructure
- Deep hands-on Google Cloud Platform experience
- Expertise in Vertex AI and BigQuery
- Strong Python and Infrastructure-as-Code proficiency
- Experience with Kubernetes and Docker
- Knowledge of LangChain, LangGraph, and ADK
- Ability to operationalize agentic workflows at scale
- Familiarity with AI safety tools
- Mindset for secure and compliant AI systems
- Ability to build monitoring for non-deterministic systems
- Excellent English skills
- Ability to translate requirements into documentation
Tasks
- Architect a centralized AI platform using Vertex AI, GKE, and BigQuery
- Design a scalable and secure GCP-based ecosystem
- Implement automated guardrails for LLM security and compliance
- Build self-service frameworks for AI agents and RAG systems
- Develop automated CI/CD/CT pipelines for model deployment
- Establish observability solutions to monitor performance and drift
- Advise internal teams on scaling AI solutions
- Create standardized golden paths for independent tech deployment
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- GCP
- Vertex AI
- BigQuery
- Python
- Terraform
- Kubernetes
- GKE
- Docker
- LangChain
- LangGraph
- Google Agent Development Kit (ADK)
- NeMo Guardrails
Benefits
More Vacation Days
- 30 days vacation
Retirement Plans
- Subsidized company pension plan
Corporate Discounts
- Employees discount
Healthcare & Fitness
- Fitness Collaborations
Learning & Development
- Training & Education
Flexible Working
- Mobile work
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
MediaMarktSaturn Retail Group
Industry
Retail
Description
MediaMarkt ist der ungeschlagene Marktführer im Consumer Electronics Markt in Österreich mit über 50 Standorten und einem Onlineshop.
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