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(Senior) AI Engineer / MLOps Engineer(m/w/x)
Leading MLOps processes at a supply chain operating system provider for construction, building AI infrastructure. Proven MLOps experience, 5+ years with NLP/image processing, and Python/Azure proficiency required. Construction site visits, included gym membership.
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)
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
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- Azure
- AI frameworks
- Terraform
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
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(Senior) AI Engineer / MLOps Engineer(m/w/x)
Leading MLOps processes at a supply chain operating system provider for construction, building AI infrastructure. Proven MLOps experience, 5+ years with NLP/image processing, and Python/Azure proficiency required. Construction site visits, included gym membership.
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)
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
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- Azure
- AI frameworks
- Terraform
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.
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