The AI Job Search Engine
(Senior) AI Engineer / MLOps Engineer(m/w/x)
Description
In this role, you will lead MLOps processes and build the infrastructure that ensures AI systems are reliable and scalable. You will collaborate with teams to design advanced features, align technical initiatives with customer needs, and drive impactful results.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Bachelor's or Master's degree in Engineering or related field
- •Proven experience in MLOps and 5+ years of experience with natural language processing and image processing techniques
- •Passion for developing AI solutions, particularly in generative AI combined with OCR and strong customer centric thinking
- •Strong proficiency in Python and Azure, with experience in AI frameworks and libraries
- •Ability to write clean, reusable, and well-tested code
- •Leadership experience, either technical or disciplinary
- •Strong problem-solving skills and enthusiasm for tackling challenging customer issues
- •Fluency in English and strong reading comprehension in German (B2 level or higher)
Education
Work Experience
5 years
Tasks
- •Lead Machine Learning Operations (MLOps) processes
- •Build and maintain infrastructure for reliable AI systems
- •Align technical initiatives with customer needs
- •Support sales and product discussions
- •Drive measurable impact for clients
- •Collaborate with engineering and product teams
- •Design and implement advanced features for AI-driven systems
- •Ensure smooth integration of machine learning models
- •Improve accuracy and efficiency of AI features
- •Conduct rigorous testing for high quality and reliability
- •Contribute to scalability and maintainability of AI solutions
- •Establish high standards in engineering practices and tooling
Tools & Technologies
Languages
English – Business Fluent
German – Business Fluent
Benefits
Other Benefits
- •Construction site visits
Healthcare & Fitness
- •Included gym membership
Informal Culture
- •Flat hierarchies
Flexible Working
- •Flexible working hours
- •Hybrid work style
Purpose-Driven Work
- •Responsibility
Team Events
- •Cool team events
- Simon-KucherFull-timeWith HomeofficeExperiencedBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München
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(Senior) AI Engineer / MLOps Engineer(m/w/x)
The AI Job Search Engine
Description
In this role, you will lead MLOps processes and build the infrastructure that ensures AI systems are reliable and scalable. You will collaborate with teams to design advanced features, align technical initiatives with customer needs, and drive impactful results.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Bachelor's or Master's degree in Engineering or related field
- •Proven experience in MLOps and 5+ years of experience with natural language processing and image processing techniques
- •Passion for developing AI solutions, particularly in generative AI combined with OCR and strong customer centric thinking
- •Strong proficiency in Python and Azure, with experience in AI frameworks and libraries
- •Ability to write clean, reusable, and well-tested code
- •Leadership experience, either technical or disciplinary
- •Strong problem-solving skills and enthusiasm for tackling challenging customer issues
- •Fluency in English and strong reading comprehension in German (B2 level or higher)
Education
Work Experience
5 years
Tasks
- •Lead Machine Learning Operations (MLOps) processes
- •Build and maintain infrastructure for reliable AI systems
- •Align technical initiatives with customer needs
- •Support sales and product discussions
- •Drive measurable impact for clients
- •Collaborate with engineering and product teams
- •Design and implement advanced features for AI-driven systems
- •Ensure smooth integration of machine learning models
- •Improve accuracy and efficiency of AI features
- •Conduct rigorous testing for high quality and reliability
- •Contribute to scalability and maintainability of AI solutions
- •Establish high standards in engineering practices and tooling
Tools & Technologies
Languages
English – Business Fluent
German – Business Fluent
Benefits
Other Benefits
- •Construction site visits
Healthcare & Fitness
- •Included gym membership
Informal Culture
- •Flat hierarchies
Flexible Working
- •Flexible working hours
- •Hybrid work style
Purpose-Driven Work
- •Responsibility
Team Events
- •Cool team events
About the Company
VESTIGAS
Industry
Construction
Description
The company offers a supply chain operating system for the construction industry, aiming to save costs and reduce CO2 emissions.
- Simon-Kucher
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MLOPs Engineer - Data & AI Platforms(m/w/x)
Full-timeWith HomeofficeExperiencedFrankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigshafen am Rhein, Nürnberg, Köln, Berlin, Düsseldorf - KI group GmbH
MLOps Engineer – Azure & AI/ML Platforms(m/w/x)
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