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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.
Anforderungen
- 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)
Aufgaben
- 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
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Python
- Azure
- AI frameworks
- Terraform
Benefits
Sonstige Vorteile
- Construction site visits
Gesundheits- & Fitnessangebote
- Included gym membership
Lockere Unternehmenskultur
- Flat hierarchies
Flexibles Arbeiten
- Flexible working hours
- Hybrid work style
Sinnstiftende Arbeit
- Responsibility
Team Events & Ausflüge
- 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.
Anforderungen
- 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)
Aufgaben
- 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
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Python
- Azure
- AI frameworks
- Terraform
Benefits
Sonstige Vorteile
- Construction site visits
Gesundheits- & Fitnessangebote
- Included gym membership
Lockere Unternehmenskultur
- Flat hierarchies
Flexibles Arbeiten
- Flexible working hours
- Hybrid work style
Sinnstiftende Arbeit
- Responsibility
Team Events & Ausflüge
- Cool team events
Über das Unternehmen
VESTIGAS
Branche
Construction
Beschreibung
The company offers a supply chain operating system for the construction industry, aiming to save costs and reduce CO2 emissions.
Noch nicht perfekt?
- appliedAI Initiative GmbH
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