9 beste Stellen als strategy in karlsruhe – aktuell auf Personalsuche

Senior AI DevOps / LLMOps
TechBiz Global GmbH —Karlsruhe
- Vollzeit
- Homeoffice
- Azure
- DevOps
- Master
Direkt bewerben
Jurist für Arbeitsrecht und Grundsatzfragen (m/w/d)
Atruvia AG —Karlsruhe
- Teilzeit
- Englisch
- Microsoft Office
- Weiterbildungsprogramme
11 Tage
Lead Test Framework Architect (M/F/D)
Agilent Technologies Deutschland GmbH —Waldbronn
- Vollzeit
- Mit Reiseanteil
- APIs
- Künstliche Intelligenz
- Employee Assistance Program
- Lebensversicherung
Engineering Manager – Software & Data (m/f/d)
NDT Global —Stutensee
- Azure
- Informatik
- DevOps
- Kostenloser Parkplatz
- Mitgliedschaft im Fitnessstudio
Direkt bewerben
Technical Expert Level 3 AutoStore (m/f/d)
Kardex Germany GmbH —Bellheim
- AutoCAD
- Englisch
- Microsoft Office
Direkt bewerben
Teamlead IT – Datacenter & Infrastructure (m/w/d)
Vulcan Energie Ressourcen GmbH —Karlsruhe
- Vollzeit
- Flexible Arbeitszeiten
Direkt bewerben
Senior Data Engineer (m/w/d)
AMAI GmbH —Karlsruhe
- Vollzeit
- Azure
- DevOps
- Englisch
- Flexible Arbeitszeiten
14 Tage
Working Student (Werkstudent) – Product Management for Analytical Instruments (HPLC/UHPLC) (M/F/D)
Agilent Technologies Deutschland GmbH —Waldbronn
- Teilzeit
- Produktmanagement
- Ohne Reiseanteil
- Analytik
- Homeoffice-Möglichkeit
21 Std.
Assistant Manager m/w/d - Ettlinger Tor, Hollister
AFH Germany GmbH —Karlsruhe
- 40.000 € pro Jahr
- Vollzeit
- Vertrieb
- Personalführung
- Bachelor
- Aufstiegsmöglichkeiten

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Senior AI DevOps / LLMOps

TechBiz Global GmbH
Karlsruhe

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

CI/CD
Azure
Kubernetes
Ansible
DevOps
Master
AWS
Bachelor
Virtualisierung
Terraform
GitHub
A/B-Test
Künstliche Intelligenz
GitLab

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

strategy Jobs in karlsruhe

Senior AI DevOps / LLMOps

Jurist für Arbeitsrecht und Grundsatzfragen (m/w/d)

Lead Test Framework Architect (M/F/D)

Engineering Manager – Software & Data (m/f/d)

Technical Expert Level 3 AutoStore (m/f/d)

Teamlead IT – Datacenter & Infrastructure (m/w/d)

Senior Data Engineer (m/w/d)

Working Student (Werkstudent) – Product Management for Analytical Instruments (HPLC/UHPLC) (M/F/D)

Assistant Manager m/w/d - Ettlinger Tor, Hollister

More jobs to discover

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