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

Simon-Kucher & Partners

Berlin
Hybrid
EUR 65,000 - 85,000
13 days ago
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Senior Digital Strategist (all genders)

WONGDOODY

Germany
Hybrid
EUR 60,000 - 80,000
13 days ago

Verkaufsberater Raum Oldenburg & Wilhelmshaven (all genders)

Viega

Kitzingen (VGem)
On-site
EUR 40,000 - 60,000
13 days ago

Amazon Account Manager Spain (f/m/x) - Hamburg office and/or Remote

VIVERE GmbH

Hamburg
Hybrid
Confidential
13 days ago

Projektmanager Webprojekte und SEO (m/w/d)

Köhler + Partner GmbH

Buchholz in der Nordheide
Hybrid
Confidential
13 days ago
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CRM Manager (m/w/d)

happybrush

München
Hybrid
Confidential
13 days ago

Brand & Content Manager senior (m/w/d)

Seven Sundays Deutschland GmbH

München
Hybrid
Confidential
13 days ago

Ranger*in

Stiftung Naturschutzfonds Brandenburg

Schenkendöbern
Hybrid
EUR 40,000 - 50,000
13 days ago
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Rechtsanwaltsfachangestellte/r (m/w/d)

Dr. Baur Rechtsanwälte

Stuttgart
Hybrid
Confidential
13 days ago

Mediengestalter/in (m/w/d)

The Radio Group GmbH

Germany
Hybrid
Confidential
13 days ago

Teamassistenz und Buchhalter:in / 20h pro Woche

IDEENHAUS GmbH MARKEN.WERT.STIL

Nürnberg
On-site
Confidential
13 days ago

Praktikum im Graphic Design (gn)

voiio GmbH

Berlin
Hybrid
Confidential
13 days ago

Sales Manager/-in im Außendienst (m/w/d) | Mannheim

Gewinnblick GmbH

Mannheim
Hybrid
Confidential
13 days ago

Entwickler Steuergeräte Hardware (m/w/d)

Kirstein GmbH Technische Systeme

Augsburg
Hybrid
Confidential
13 days ago

Praktikum im Operations & Partnermanagement (gn)

voiio GmbH

Berlin
Hybrid
Confidential
13 days ago

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G&S IT Group GmbH

Osnabrück
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Personaldisponent (m/w/d) in Annaberg-Buchholz

Annette Hoppmann Consulting

Annaberg-Buchholz
Hybrid
Confidential
13 days ago

Leitung Webentwicklung und Projektmanagement (m/w/d)

Köhler + Partner GmbH

Buchholz in der Nordheide
Hybrid
Confidential
13 days ago

Projektcontroller*in

Pacemaker Initiative

Düsseldorf
Hybrid
Confidential
13 days ago

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G&S IT Group GmbH

Osnabrück
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Confidential
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G&S IT Group GmbH

Osnabrück
Hybrid
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Marketing & Communications Manager:in

Pfeffermind

Berlin
Hybrid
Confidential
13 days ago

Marketing Assistant (m/w/d)

G&S IT Group GmbH

Osnabrück
Hybrid
Confidential
13 days ago

Operational Excellence Manager:in - Wärmepumpen (w/m/d)

nuuEnergy GmbH

München
On-site
Confidential
13 days ago

Growth Marketer (m/w/d)

nuuEnergy GmbH

München
On-site
Confidential
13 days ago

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AI Ops / ML Ops Engineer (m/f/d)
Simon-Kucher & Partners
Berlin
Hybrid
EUR 65.000 - 85.000
Full time
13 days ago

Job summary

A global consultancy firm is seeking an experienced AI Ops / ML Ops Engineer in Berlin. The role focuses on designing scalable AI products and enhancing ML delivery. Candidates should have strong backgrounds in AI infrastructure and automation. This position offers a dynamic, startup-like culture and opportunities for growth within the AI Lab. With a strong emphasis on collaboration and creativity, applicants will contribute to innovative solutions that drive client success.

Benefits

Hybrid working
Extensive training curriculum
Daycare allowance

Qualifications

  • Experience in ML/AI infrastructure from data ingestion to deployment.
  • Able to design scalable global systems with strict availability and security.
  • Strong automation skills, comfortable with Python and Terraform.

Responsibilities

  • Develop and maintain data architecture for high-volume applications.
  • Drive ML delivery with robust MLOps foundations.
  • Accelerate AI product development and operationalize LLMs.
Job description
AI Ops / ML Ops Engineer (m/f/d) In Germany - Berlin | Bonn | Cologne | Frankfurt/Main | Hamburg | Munich

We are seeking an experienced AI Ops 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:
  • 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, and support rapid experimentation by leveraging Python, Bash, and Terraform to script, 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 — you eliminate manual operational toil by designing robust tooling and pipelines.

Have we sparked your interest? Simply click the ‘Apply now’ button to submit your application. Please note that, for data protection reasons, we cannot accept applications via email.

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

About Simon‑Kucher

Simon‑Kucher is a global consultancy with more than 2,000 employees in 30+ countries. Our sole focus is on unlocking better growth that drives measurable revenue and profit for our clients. We achieve this by optimizing every lever of their commercial strategy – product, price, innovation, marketing, and sales – based on deep insights into what customers want and value. With 40 years of experience in monetization topics of all kinds, we are regarded as the world’s leading pricing and growth specialist.

We believe in building a culture that embraces diversity, equity, and inclusion, 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, of course, 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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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