10 beste Stellen als automation specialist in düsseldorf, nw – aktuell auf Personalsuche

Senior AI DevOps / LLMOps
TechBiz Global GmbH —Düsseldorf
- Vollzeit
- Homeoffice
- Master
- Bachelor
Direkt bewerben
Solution Expert- Marketing platform (m/f/d)
METRO Digital —Düsseldorf
- Vollzeit
- Hybrides Arbeiten
Direkt bewerben
System Engineer Microsoft 365 (m/f/d)
OQEMA GmbH —Mönchengladbach
- Vollzeit
- Informatik
- Kommunikationsfähigkeit
- Empfehlungsprogramm
Dein Neustart mit KI-Kompetenz: Jetzt durchstarten (m/w/d)
Syntex GmbH —Solingen
- Vollzeit
- Homeoffice
Direkt bewerben
13 Tage
Contract Administrator
Toshiba EMEA —Ratingen
- PMP
- Bachelor
- Wirtschaft
Senior Cloud Developer “SURU Connect” (f/m/d)
Grohe AG —Düsseldorf
- Vollzeit
Direkt bewerben
4 Tage
AI Automation Specialist (m/w/d)
ISI - Initiative für Soziale Innovation GbR —Düsseldorf
- 4.000 € – 5.000 € pro Monat
- Teilzeit
- Hybrides Arbeiten
- JavaScript
- APIs
- Python
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
9 Tage
KI / AI & Automation Specialist (m/w/d)
transformis Consulting SE —Mülheim an der Ruhr
- Vollzeit
6 Tage
Technical Support Specialist (Fire) (m/w/d)
Honeywell —Ratingen
- Vollzeit
- Englisch
2 Tage
Internship OSR Breeding (all genders)
Bayer —Monheim
- 2.280 € pro Monat
- Vollzeit
- Master
- Bachelor
- Praktikum
1 Tag

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automation specialist jobs near düsseldorf, nw

Senior AI DevOps / LLMOps

TechBiz Global GmbH
Düsseldorf

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Master
Bachelor
GitHub

Vollständige Stellenbeschreibung

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Senior AI DevOps / LLMOps specialist to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Key Responsibilities

Automation of Build-to-Production
Design and implement robust CI/CD pipelines tailored for AI, covering model weights,

dataset versioning, and application code.

Develop specialized workflows for PromptOps, ensuring that system prompts are

version-controlled, tested for regressions, and deployed with the same rigor as traditional

code.

Automate the deployment of Agentic workflows, managing the complexities of stateful

AI interactions and multi-agent handoffs.

2. AI Infrastructure as Code (IaC)

Provision and manage high-performance compute environments (GPU clusters, TPU

pods) using Terraform, Pulumi, or Ansible.

Define and enforce Policy-as-Code for AI endpoints to ensure compliance with security,

cost-usage limits, and data residency requirements.

Maintain a consistent environment across Hybrid Infrastructure, ensuring seamless

parity between On-Premises development and Cloud production.

3. Safe Experimentation & Controlled Releases

Architect Progressive Delivery strategies for AI, including Canary releases, Blue-Green

deployments, and Shadowing (where new models run in parallel with production to

compare outputs).

Build “Evaluation-in-the-Loop” gates within the pipeline to automatically test for bias,

hallucination, and performance degradation before a release.

Implement A/B testing frameworks specifically designed for LLM outputs and agentic

behavior.

4. Monitoring & Observability

- Establish deep observability into Inference Endpoints, tracking metrics like tokens-per-

second, latency, and drift in model accuracy.

Integrate feedback loops that capture production “edge cases” to feed back into the

training and fine-tuning pipelines.

Must-Have Technical Skills:

Orchestration: Advanced Kubernetes (K8s) skills, specifically with KubeFlow, Ray, or

NVIDIA Triton.

CI/CD & IaC: Expertise in GitHub Actions/GitLab CI, and Terraform or Pulumi.
AI Tooling: Experience with Weights & Biases, MLflow, LangSmith, or Arize

Phoenix.

Hardware: Understanding of GPU virtualization, CUDA drivers, and on-premises

hardware management.

Security: Familiarity with Open Policy Agent (OPA) and secret management (Vault).

Experience:

10+ years in DevOps, SRE, or Cloud Engineering.
2+ years of hands-on experience in MLOps or LLMOps, specifically moving LLMs

from notebook to production.

Proven experience managing Hybrid Cloud environments (e.g., AWS/Azure + Private

Data Center).

Direkt bewerben

Erweiterte Suche

automation specialist Jobs in düsseldorf, nw

Senior AI DevOps / LLMOps

Solution Expert- Marketing platform (m/f/d)

System Engineer Microsoft 365 (m/f/d)

Dein Neustart mit KI-Kompetenz: Jetzt durchstarten (m/w/d)

Contract Administrator

Senior Cloud Developer “SURU Connect” (f/m/d)

AI Automation Specialist (m/w/d)

KI / AI & Automation Specialist (m/w/d)

Technical Support Specialist (Fire) (m/w/d)

Internship OSR Breeding (all genders)

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