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.AI Engineer / Technical Consultant(m/w/x)
Prototyping and deploying LLMs and generative AI solutions for data consulting. Machine learning, deep learning, and cloud deployment experience required. International exposure and innovation focus.
Requirements
- Engineer mindset with consulting ability
- Bachelor's or Master's in Computer Science, Data Science, or Engineering
- Strong Python skills
- Machine learning, deep learning, LLMs experience
- Azure, GCP, or AWS experience for AI deployment
- MLOps, APIs, Git, containerization exposure
- Mandatory German and English fluency
- Work eligibility in Switzerland
- Motivation and potential valued
Tasks
- Prototype AI and data solutions
- Test and deploy AI models
- Design proof-of-concepts for AI/ML use cases
- Implement LLMs and Generative AI
- Develop machine learning models
- Fine-tune deep learning models
- Use TensorFlow, PyTorch, or HuggingFace
- Build solutions on Azure, GCP, or AWS
- Create data pipelines
- Deploy AI services
- Contribute to scalable AI architecture
- Ensure security, performance, and maintainability
- Translate client requirements into technical designs
- Collaborate with client business and IT teams
- Explain AI/ML feasibility
- Guide clients on best practices
- Stay updated on AI/ML advancements
- Incorporate LLMs, MLOps, and cloud-native AI services
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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.AI Engineer / Technical Consultant(m/w/x)
Prototyping and deploying LLMs and generative AI solutions for data consulting. Machine learning, deep learning, and cloud deployment experience required. International exposure and innovation focus.
Requirements
- Engineer mindset with consulting ability
- Bachelor's or Master's in Computer Science, Data Science, or Engineering
- Strong Python skills
- Machine learning, deep learning, LLMs experience
- Azure, GCP, or AWS experience for AI deployment
- MLOps, APIs, Git, containerization exposure
- Mandatory German and English fluency
- Work eligibility in Switzerland
- Motivation and potential valued
Tasks
- Prototype AI and data solutions
- Test and deploy AI models
- Design proof-of-concepts for AI/ML use cases
- Implement LLMs and Generative AI
- Develop machine learning models
- Fine-tune deep learning models
- Use TensorFlow, PyTorch, or HuggingFace
- Build solutions on Azure, GCP, or AWS
- Create data pipelines
- Deploy AI services
- Contribute to scalable AI architecture
- Ensure security, performance, and maintainability
- Translate client requirements into technical designs
- Collaborate with client business and IT teams
- Explain AI/ML feasibility
- Guide clients on best practices
- Stay updated on AI/ML advancements
- Incorporate LLMs, MLOps, and cloud-native AI services
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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