AI Ops / ML Ops Engineer (m / f / d)

Simon-Kucher & Partners; Bonn; Hybrid; EUR 70.000 - 95.000; Vollzeit

Zusammenfassung

A global consultancy firm is seeking an experienced AI Ops / ML Ops Engineer in Germany. This role focuses on developing and maintaining scalable SaaS data architecture, optimizing MLOps delivery, and managing cloud infrastructure. Candidates should possess strong skills in ML/AI infrastructure and automation, with a history of working in high-availability environments. This position offers opportunities for innovation within a collaborative and agile team atmosphere.

Leistungen

Hybrid working

Daycare allowance

Corporate discounts

Wellbeing support

Frequent employee events

Qualifikationen

• Proven experience in ML/AI infrastructure ownership.
• Experience in high-availability SaaS environments.
• Strong communication and collaboration skills.
• Bias for automation in operational tasks.

Aufgaben

• Develop and maintain data architecture for SaaS applications.
• Drive faster and reliable ML delivery with MLOps.
• Optimize cloud infrastructure for scalability.
• Ensure AI operations are reliable and trustworthy.
• Embed security and compliance best practices.

Kenntnisse

ML infrastructure

Data architecture

Cloud infrastructure (AWS/Azure/GCP)

MLOps foundations

Kubernetes management

Python

Bash

Terraform

Jobbeschreibung

AI Ops / ML Ops Engineer (m / f / d)

In Germany - Berlin| Bonn | Cologne | Frankfurt / Main | Hamburg | Munich

We are seekingan experienced AI Ops Engineer to contribute to designing and building scalableSaaS 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 transformour clients’ business models and enable their growth.

Simon-Kucheris at the forefront of innovation in driving commercial excellence, revampingbusiness models, developing solutions and methodologies for unlocking bettergrowth of our clients. Within AI Lab, we are developing cutting‑edge large scale AI products to deliversustained top‑line impact for our clients.

Are you interested in working in a team of AI evangelists with a can‑doattitude? Want to experience the dynamics of agile processes in open‑mindedteams? How about getting creative in a startup atmosphere with a steepdevelopment curve and flat hierarchies? And most importantly, do you want tomake a difference? Then you've came 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 frequentemployee events, World Meetings and Holiday Parties

How you will create animpact :

• 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 / Azure / GCP.
• 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, andsupport rapid experimentation by leveraging Python, Bash, and Terraform toscript, codify, and automate infrastructure and ML workflows.

About you :

• You have previously owned end-to-end ML / AI infrastructure — from data ingestion and feature pipelines to training, deployment, and production monitoring.
• You enable data scientists to move faster by building self‑service platforms, stable environments, and automated workflows that eliminate friction.
• You bring experience operating in high‑availability SaaS environments (ideally B2B) with strict uptime, scalability, and security requirements.
• 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 communicate clearly and collaborate effectively with engineering, data science, product, and security teams.
• You have a strong bias for automation — youeliminate manual operational toil by designing robust tooling and pipelines.

Have we sparked your interest? Simply click the 'Apply now' button tosubmit your application. Please note that, for data protection reasons, wecannot accept applications via email.

Would you like to learn more about us and our company culture? Click hereto watch our recruitment video .

About Simon‑Kucher

Simon‑Kucher is a global consultancy with more than 2,000 employees in30+ countries.

Our sole focus is on unlocking better growth that drives measurable revenue andprofit for our clients. We achieve this by optimizing every lever of theircommercial strategy – product, price, innovation, marketing, and sales – basedon deep insights into what customers want and value. With 40 years ofexperience in monetization topics of all kinds, we are regarded as the world’sleading pricing and growth specialist. simon‑kucher.com

We believe in building a culture that embraces diversity, equity, andinclusion, creating an environment in which our people feel valued, are able to be themselves and feel their contribution matters. If we get that right,remarkable things will happen; people will grow faster, innovate, feel valued,and create better outcomes for everyone – our people, our clients and,ofcourse,our business.

Your personal contact :

Maria Weininger

recruitment.germany(at)simon-kucher.com

Please submit your application exclusively via the “Apply now” button !

Better growth starts here. With you.