Welche Städte in der Nähe von Bonn haben die meisten mlops engineer Jobangebote?

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Welche Städte in der Nähe von Bonn haben die meisten Jobangebote?

10 Städte in der Nähe von Bonn mit den meisten Jobangeboten: Köln Troisdorf Hürth Euskirchen Sankt Augustin Brühl Siegburg Niederkassel Lohmar Wachtberg

Was sind die beliebtesten Jobsuchen in Bonn?

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Mlops engineer Jobs in Bonn

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Mlops engineer • bonn

Zuletzt aktualisiert: vor 4 Tagen

Senior AI Platform Engineer (Multi-tenant SaaS & MLOps) (m / f / d)

Simon-KucherBonn, DE

Lead IT Expert DevOps & Platform Engineering (m / w / d)

BWI GmbHBonn, DE

Sorge gemeinsam mit uns für die digitale Zukunftsfähigkeit der Bundeswehr.Kolleg •innen betreiben und modernisieren wir eine der größten und komplexesten IT-Infrastrukturen in Deutschland.Der Bereic...Mehr anzeigenZuletzt aktualisiert: vor 4 Tagen

(Associate) Consultant MLOps Engineering (m / w / d)

Comma Soft AGBonn, DE

Je nach Bedarf im Kundenprojekt übernimmst du mehrere Rollen : .Als technischer Experte für MLOps bist du der primäre Ansprechpartner für die technische Konzeption und Umsetzung der MLOps-Infrastrukt...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen

Engineer

ATS CorporationRhein-Sieg-Kreis, North Rhine-Westphalia, Germany

Du interessierst dich für Elektrotechnik Automatisierung Digitalisierung oder Industrie 4.Dann unterstütze unser Team in Bornheim bei spannenden Projekten in der Prozessindustrie.Wir bieten : Abwech...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen

DevOps Engineer •

Haeger Consulting GmbHBonn, North Rhine-Westphalia, Germany

Quick Apply

Du arbeitest eng mit unseren Kunden zusammen, um moderne DevOps-Praktiken zu etablieren.Du setzt gemeinsam mit Entwicklerteams Infrastructure-as-Code-Konzepte um (z. Du konzipierst und implementiers...Mehr anzeigenZuletzt aktualisiert: vor 11 Tagen

(Senior) Specialist (w / m / d) - M365 Engineer / Solution Engineer

Germany Trade & InvestBerlin, Bonn

Wir informieren den deutschen Mittelstand über Chancen und Risiken in Auslandsmärkten und beraten ausländische Unternehmen bei der Ansiedlung in Deutschland. Durch unsere Arbeit fördern wir aktiv di...Mehr anzeigenZuletzt aktualisiert: vor 25 Tagen

Gesponsert

Machine Learning Engineer

WetterOnline Meteorologische Dienstleistungen GmbHBonn, de

Du interessierst dich für den Einsatz von ML-Verfahren bei der Analyse und Verarbeitung von Wetterdaten mit Python, PyTorch, NumPy und OpenCV?. Du möchtest dazu beitragen, die Visualisierung von Rad...Mehr anzeigenZuletzt aktualisiert: vor 21 Tagen

Forward Deployed Engineer

HappyrobotBonn, North Rhine-Westphalia, Germany

HappyRobot is the AI-native operating system for the real economya system that closes the circuit between intelligence and action. By combining real-time truth specialized AI workers and an orchestr...Mehr anzeigenZuletzt aktualisiert: vor 14 Tagen

DevOps Engineer •

Haeger ConsultingBonn, Nordrhein-Westfalen, DE

Senior AI Platform Engineer (w / m / d)

BWIMeckenheim, DE

Planung, Aufbau und Betrieb von skalierbaren Kubernetes-Clustern mit GPU-Unterstützung als Grundlage einer KI-Serviceplattform . Optimierung von Cluster-Ressourcen für KI / ML-Workloads (Scheduling, G...Mehr anzeigenZuletzt aktualisiert: vor 4 Tagen

Senior AI Platform Engineer (Multi-tenant SaaS & MLOps) (m / f / d)

Simon-Kucher & PartnersBonn, DE

Industrial Engineer Industrial Engineer-Senior (mfd)

FedExRhein-Sieg-Kreis, North Rhine-Westphalia, Germany

DEG FedEx Express Deutschland GmbH.FXE-EU : Industrial Engineer (ID).We have an exciting opportunity for you to join our team as an. Industrial Engineer / Industrial Engineer-Senior (m / f / d).The posit...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen

Network System Engineer

DL RemoteBonn, Nordrhein-Westfalen, DE

Quick Apply

DL Remote is a talent network for remote-ready or relocation-supported jobs at outstanding companies.In dieser Position bist du als Systemadministrator für den Betrieb und die Weiterentwicklun...Mehr anzeigenZuletzt aktualisiert: vor 5 Tagen

Security Engineer (M / F / X), DHL Data & AI

DPDHLBonn, Nordrhein-Westfalen, Germany

Creating Value at DHL Group through Data & AI Innovation.At DHL Data & AI, we provide the DHL Group with a wide range of services, including Data Analytics, Operations Research, Machine Learning, A...Mehr anzeigenZuletzt aktualisiert: vor 26 Tagen

Lab Engineer

Marmon Foodservice Technologies Europe GmbHNorth Rhine, Westphalia, DE

Marmon Foodservice Technologies Europe GmbH.Come join a team where People make the difference!As a part of Marmon Holdings, Inc. Coordinates all work within the scope of assigned projects and ensure...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen

Process Engineer

STAR GROUPNordrhein, Westfalen

Entwicklung neuer Produktionsprozesse oder Optimierung bestehender Prozesse.Verwendung von Softwaretools wie Aspen HYSYS oder ChemCAD zur Modellierung und Simulation von Prozessen.Analyse von Mater...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen

Senior Machine Learning / AI Engineer (all genders)

adesso SEJoseph-Schumpeter-Allee 1, Bonn, Deutschland

ML-Modelle entwickeln & produktiv setzen : .Du entwickelst Machine Learning-Modelle, überführst sie in produktive Umgebungen und verantwortest deren kontinuierliche Pflege und Weiterentwicklung.Du se...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen

(Senior) Specialist (w / m / d) - M365 Engineer / Solution Engineer

Öffentlicher Dienst & Verbände KarriereBonn, Germany

Wir informieren den deutschen Mittelstand über Chancen und Risiken in Auslandsmärkten und beraten ausländische Unternehmen bei der Ansiedlung in Deutschland.Mehr anzeigenZuletzt aktualisiert: vor 11 Tagen

Sales Engineer / Solution Engineer Pre-Sales (m / w / d)

GEUTEBRÜCKBonn, Nordrhein-Westfalen, Deutschland

Quick Apply

Sales Engineer / Solution Engineer Pre-Sales (m / w / d).Sales Engineer / Solution Engineer Pre-Sales (m / w / d).Hybrid - . Bei Geutebrück entwickeln wir Video- und Softwarelö...Mehr anzeigenZuletzt aktualisiert: vor 28 Tagen

Häufig gestellte Fragen

Städte in der Nähe von Bonn mit den meisten mlops engineer Jobs:

10 Städte in der Nähe von Bonn mit den meisten Jobangeboten:

Die 10 beliebtesten Jobsuchen in Bonn sind:

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Senior AI Platform Engineer (Multi-tenant SaaS & MLOps) (m / f / d)

Simon-KucherBonn, DE

Vor 5 Tagen

Stellenbeschreibung

Senior AI Platform Engineer (Multi-tenant SaaS & MLOps) (m / f / d)

In Germany - Berlin

We are seeking

an experienced AI Platform Engineer to contribute to designing and building

scalable SaaS products within our AI Lab. In this role, you’ll combine deep

technical expertise with strategic vision to build AI-powered products that

will help transform our clients’ business models and enable their growth.

Simon-Kucher

is at the forefront of innovation in driving commercial excellence, revamping

business models, developing solutions and methodologies for unlocking better

growth of our clients. Within AI Lab, we are developing cutting-edge large scale AI products to deliver

sustained top-line impact for our clients.

Are you interested in working in a team of AI evangelists with a can-do

attitude? Want to experience the dynamics of agile processes in open-minded

teams? How about getting creative in a startup atmosphere with a steep

development curve and flat hierarchies? And most importantly, do you want to

make a difference? Then you've come to the right place.

What makes us special :

Advance your career with exciting professional opportunities in our thriving company with a startup feel
Innovate by transforming ideas into cutting-edge AI products, championing AI and Generative AI through creative experimentation to push boundaries and deliver transformative solutions.
Voice your unique ideas in a culture defined by our entrepreneurial spirit, openness, and integrity
Feel at home working with our helpful, enthusiastic colleagues who have great team spirit
Broaden your perspective with our extensive training curriculum and learning programs (e.g. LinkedIn Learning)
Speak your mind in our holistic feedback and development processes (e.g. 360-degree feedback)
Satisfy your need for adventure with our opportunities to live and work abroad in one of our many international offices
Enjoy our benefits, such as hybrid working, daycare allowance, corporate discounts, and wellbeing support (e.g. Headspace)
Unwind in our break areas where you can help yourself to the healthy snacks and beverages provided

See another side of your coworkers at our frequent

employee events, World Meetings and Holiday Parties

How you will create an

impact :

Design and evolve a multi-tenant SaaS architecture, including tenant isolation for data, computer, and observability.

Build automated tenant provisioning / onboarding, configuration, and safe rollouts (canary / feature flags) across tenants.

Implement noisy-neighbor protection (per-tenant quotas, rate limits, priority scheduling) and per-tenant SLO monitoring.

Partner with security / compliance to deliver enterprise controls (audit logs, tenant-aware access control, retention).

Develop and maintain data architecture : create and manage robust data architectures that support high-volume, high-throughput SaaS applications, focusing on reliability and scalability.

Drive faster and more reliable ML delivery by building robust MLOps foundations, including automated training pipelines, experiment tracking, and scalable model deployment.

Accelerate AI product development by operationalizing LLMs end-to-end — from fine-tuning and evaluation to high-performance serving, monitoring, and embeddings workflows.

Increase engineering velocity and system reliability by developing and maintaining unified CI / CD pipelines that ship ML and application code seamlessly.

Enable scalable and cost-efficient AI workloads through well-architected cloud infrastructure across AWS.

Improve performance and resilience of AI systems by managing Kubernetes clusters, optimizing autoscaling, and orchestrating GPU-heavy workloads.

Enhance inference speed and portability by delivering highly optimized, secure Docker-based containers tailored for ML and LLM workloads.

Strengthen data quality and model performance through well-designed ETL / ELT pipelines, streaming systems, feature store integration, and workflow orchestration.

Ensure reliable and trustworthy AI operations by implementing comprehensive observability : logs, metrics, traces, and model / data drift detection.

Reduce operational risk by embedding security and compliance best practices — IAM, RBAC, VPC design, secrets management, and encryption — into every layer of the stack.

Increase automation, reduce manual toil, and

support rapid experimentation by leveraging Python, Bash, and Terraform to

script, codify, and automate infrastructure and ML workflows.

About you :

You have shipped and operated customer-facing SaaS products used by real users at scale and bring hands-on experience operating multi-tenant SaaS with tenant isolation, per-tenant controls, and enterprise security expectations.

You have previously owned end-to-end ML / AI infrastructure — from data ingestion and feature pipelines to training, deployment, and production monitoring.

You enable engineers and data scientists to move faster by building self-service platforms, stable environments, and automated workflows that eliminate friction.

You have a track record of designing systems that scale globally across regions, workloads, and traffic patterns.

You’re comfortable participating in incident response and on-call rotations, and you know how to stabilize and improve critical production systems.

You think with a product mindset, focusing on customer value, reliability, and speed-to-market rather than technology for its own sake.

You have a strong bias for automation — you eliminate manual operational toil by designing robust tooling and pipelines.

Very strong communication and collaboration skills

supporting other engineers, async collaboration, explaining technical

decisions to non-technical audiences, writing documentation, showing

initiative.

Technical skills required :

Proven patterns for tenant isolation (DB-per-tenant vs schema-per-tenant vs row-level security), plus tenant-aware caching and noisy-neighbor protection (rate limits, quotas, scheduling).

Experience with OIDC / OAuth2, tenant-aware

RBAC / ABAC , SCIM provisioning, and audit logging requirements for B2B

SaaS.

Deep Kubernetes experience : cluster ops, HPA / VPA , node pools, GPU scheduling, cluster autoscaler / Karpenter , PDBs, network policies, and multi-AZ design.

Service mesh (Istio / Linkerd) and ingress patterns

(ALB / Nginx), plus secure egress and mTLS (where applicable).

Strong requirement for Infrastructure as Code beyond Terraform basics : Terraform modules, Terragrunt, policy-as-code (OPA / Conftest), and secrets automation.

GitOps (ArgoCD / Flux) and progressive delivery (Argo

Rollouts / Flagger), feature flags, canaries and blue / green.

Model lifecycle tooling : MLflow / W&B , model registry, experiment tracking, reproducible training, dataset / versioning ( DVC / lakeFS ).

Pipeline orchestration (Airflow / Prefect / Dagster) + artifact stores.

Model serving patterns : online serving (KServe / Seldon / BentoML / Ray Serve), async / batch inference, autoscaling, and rollback strategies.

Experience with prompt / version management , offline + online evaluation harnesses, RAG evaluation (retrieval metrics, groundedness), guardrails, and red-teaming basics.

Handling streaming inference (SSE / WebSockets), caching, routing, and fallback models.

Vector DB experience (pgvector / Pinecone /

Weaviate / Milvus) and embedding lifecycle (backfills, re-embedding,

indexing strategies).

Explicit requirement for OpenTelemetry , tracing, and SLOs. Tools : Prometheus / Grafana, Loki / ELK, Datadog / New Relic—whatever you standardize on.

Incident mgmt : postmortems, runbooks, error

budgets.

Requirements aligned to enterprise buyers : GDPR , encryption at rest / in transit, secrets mgmt (AWS Secrets Manager / Vault), KMS, key rotation.

SOC 2 / ISO 27001 familiarity, vulnerability scanning

(Trivy / Grype), SBOMs, SAST / DAST, dependency management.