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At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio.If you're looking for an exciting opportunity to grow in a innovative environment, this could be the pe... Mehr anzeigen
Establish the enterprise business architecture vision, strategy, and frameworks.Define and manage core enterprise architecture artifacts.Enterprise Meta Model, business capability maps, as-is/targe... Mehr anzeigen
Enterprise-LLM-Architekturen entwerfen:.Du konzipierst skalierbare, mandantenfähige und produktionsreife (Gen)AI-Architekturen als Bestandteil einer unternehmensweiten AI-Plattform.Du definierst Mo... Mehr anzeigen
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You’ll be empowered to lead, supported to grow, and proud of the impact we create together.Join us and help run what runs the world.Production Engineering Manager.The work model for the role is: #L... Mehr anzeigen
AI-powered conversational products, that is seeking to onboard a Mid/Senior AI LLM Engineer.The role focuses on fine-tuning and improving self-hosted large language models that power personalised A... Mehr anzeigen
This role is based in Sofia, Bulgaria and provides a relocation package.Join an international team as a.German-Speaking Billing Service Agent.Monday to Saturday - Rotating shifts between 09:00 and ... Mehr anzeigen
Renesas is seeking a Principal AI Software Architecture Engineer to lead the technical direction of next-generation AI software platforms and deployment technologies across embedded and edge comput... Mehr anzeigen
Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance.At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams ... Mehr anzeigen
You will develop new Anaplan models for our EMEA Finance and Sales organisation based on business and sales controlling requirements.You take care of the customising, maintenance and support of our... Mehr anzeigen
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At Bedford, you’ll become part of one of Anaplan’s largest and longest-running Gold partners, recognised year after year for excellence and innovation.We are a team committed to going.As we continu... Mehr anzeigen
Local third-party agency contract (until in-country entity is established).Our client is a rapidly growing.With operations in over 200 countries and a strong base of satisfied customers, the compan... Mehr anzeigen
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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).
