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AI Engineer / Technical Consultant(m/w/x)
Designing and implementing AI/ML proof-of-concepts on cloud platforms for data consulting. Hands-on ML/DL/LLM experience required. International exposure, regular training in AI/data capabilities.
Requirements
- Engineer and consultant mindset
- Builder's mindset
- Ability to thrive in consulting
- Bachelor's or Master's degree in CS, Data Science, Engineering, or related
- Hands-on ML/DL/LLM experience
- Experience with Azure, GCP, or AWS for AI deployment
- Exposure to MLOps, APIs, Git, containerization
- Fluency in German (written and spoken)
- Fluency in English (written and spoken)
- French language skills (strong plus)
- Work eligibility in Switzerland
- Motivation and potential
- Passion for generative AI
Tasks
- Design and implement AI/ML proof-of-concepts
- Develop and fine-tune machine learning models
- Build and run solutions on cloud platforms
- Contribute to scalable AI solution architecture
- Translate client requirements into technical designs
- Explain feasibility and best practices to clients
- Stay updated on AI/ML advancements and innovations
- Deploy AI/ML models into production environments
- Collaborate with multi-disciplinary teams
- Ensure security, performance, and maintainability
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Native
- English – Native
- French – Basic
Tools & Technologies
- Python
- SQL
- Java
- C++
- machine learning
- deep learning
- LLMs
- Azure
- GCP
- AWS
- MLOps
- APIs
- Git
- Docker
- Kubernetes
Benefits
Learning & Development
- Regular training in strategy consulting
- Regular training in AI/data capabilities
Informal Culture
- International exposure
- Collaboration
Startup Environment
- Innovation
Other Benefits
- Action
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- ArtefactFull-timeOn-siteNot specifiedLausanne, Genf
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AI Engineer / Technical Consultant(m/w/x)
Designing and implementing AI/ML proof-of-concepts on cloud platforms for data consulting. Hands-on ML/DL/LLM experience required. International exposure, regular training in AI/data capabilities.
Requirements
- Engineer and consultant mindset
- Builder's mindset
- Ability to thrive in consulting
- Bachelor's or Master's degree in CS, Data Science, Engineering, or related
- Hands-on ML/DL/LLM experience
- Experience with Azure, GCP, or AWS for AI deployment
- Exposure to MLOps, APIs, Git, containerization
- Fluency in German (written and spoken)
- Fluency in English (written and spoken)
- French language skills (strong plus)
- Work eligibility in Switzerland
- Motivation and potential
- Passion for generative AI
Tasks
- Design and implement AI/ML proof-of-concepts
- Develop and fine-tune machine learning models
- Build and run solutions on cloud platforms
- Contribute to scalable AI solution architecture
- Translate client requirements into technical designs
- Explain feasibility and best practices to clients
- Stay updated on AI/ML advancements and innovations
- Deploy AI/ML models into production environments
- Collaborate with multi-disciplinary teams
- Ensure security, performance, and maintainability
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Native
- English – Native
- French – Basic
Tools & Technologies
- Python
- SQL
- Java
- C++
- machine learning
- deep learning
- LLMs
- Azure
- GCP
- AWS
- MLOps
- APIs
- Git
- Docker
- Kubernetes
Benefits
Learning & Development
- Regular training in strategy consulting
- Regular training in AI/data capabilities
Informal Culture
- International exposure
- Collaboration
Startup Environment
- Innovation
Other Benefits
- Action
About the Company
Artefact
Industry
Consulting
Description
Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI.
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