Sunrise GmbH
AI/ML Engineer & MLOps(m/w/x)
Full-timeOn-siteExperienced
Zürich
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ONOntinue
Entry Level AI Engineer(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Design and deployment of agentic AI systems for threat detection at MXDR provider. Hands-on experience with supervised and reinforcement learning required. Microsoft certification training, management development program.
Requirements
- Design and development of agentic AI
- Optimization of scalable data pipelines
- Building and deploying ML models
- Use of supervised and reinforcement learning
- Model monitoring and MLOps strategies
- Translating business problems into AI solutions
- Implementing latest AI methods
- Collaboration across multi-disciplinary teams
- Good knowledge of Python
- Strong software engineering skills
- Experience deploying models into cloud
- Knowledge of LLMs and generative AI
- Ability to rapidly prototype AI solutions
- Strong communication and presentation skills
- Creative and self-motivated attitude
- Background in AI-driven automation platforms
- Experience with cloud-native AI tools
- Experience in graph machine learning
- Research or publication experience
- Experience integrating AI into cybersecurity
Tasks
- Collaborate with Product, Engineering, and Security teams
- Design and deploy advanced AI/ML solutions
- Build intelligent systems for threat detection
- Enhance automation and decision-making capabilities
- Apply cutting-edge AI research and methodologies
- Develop predictive cybersecurity operations
- Connect with stakeholders to understand AI-driven visions
- Identify innovation opportunities within the ION platform
- Enhance generative AI applications and agentic workflows
- Improve existing data pipelines
- Integrate models into large-scale production environments
- Differentiate AI capabilities to strengthen value propositions
- Design agentic or generative AI systems
- Optimize scalable pipelines for training and inference
- Build and deploy diverse machine learning models
- Apply supervised, unsupervised, and reinforcement learning
- Monitor models and manage the AI lifecycle
- Translate business problems into AI/ML solutions
- Adapt academic innovations into real-world applications
- Deliver impactful AI features with multi-disciplinary teams
Work Experience
approx. 1 - 4 years
Education
Vocational certificationORBachelor's degree
Languages
English – Business Fluent
Tools & Technologies
PythonAzureAWSGCPAzure ML StudioAzure Cognitive Services
Benefits
Learning & Development
- •Management training
- •Microsoft training
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Ontinue and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ONOntinue
Entry Level AI Engineer(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Design and deployment of agentic AI systems for threat detection at MXDR provider. Hands-on experience with supervised and reinforcement learning required. Microsoft certification training, management development program.
Requirements
- Design and development of agentic AI
- Optimization of scalable data pipelines
- Building and deploying ML models
- Use of supervised and reinforcement learning
- Model monitoring and MLOps strategies
- Translating business problems into AI solutions
- Implementing latest AI methods
- Collaboration across multi-disciplinary teams
- Good knowledge of Python
- Strong software engineering skills
- Experience deploying models into cloud
- Knowledge of LLMs and generative AI
- Ability to rapidly prototype AI solutions
- Strong communication and presentation skills
- Creative and self-motivated attitude
- Background in AI-driven automation platforms
- Experience with cloud-native AI tools
- Experience in graph machine learning
- Research or publication experience
- Experience integrating AI into cybersecurity
Tasks
- Collaborate with Product, Engineering, and Security teams
- Design and deploy advanced AI/ML solutions
- Build intelligent systems for threat detection
- Enhance automation and decision-making capabilities
- Apply cutting-edge AI research and methodologies
- Develop predictive cybersecurity operations
- Connect with stakeholders to understand AI-driven visions
- Identify innovation opportunities within the ION platform
- Enhance generative AI applications and agentic workflows
- Improve existing data pipelines
- Integrate models into large-scale production environments
- Differentiate AI capabilities to strengthen value propositions
- Design agentic or generative AI systems
- Optimize scalable pipelines for training and inference
- Build and deploy diverse machine learning models
- Apply supervised, unsupervised, and reinforcement learning
- Monitor models and manage the AI lifecycle
- Translate business problems into AI/ML solutions
- Adapt academic innovations into real-world applications
- Deliver impactful AI features with multi-disciplinary teams
Work Experience
approx. 1 - 4 years
Education
Vocational certificationORBachelor's degree
Languages
English – Business Fluent
Tools & Technologies
PythonAzureAWSGCPAzure ML StudioAzure Cognitive Services
Benefits
Learning & Development
- •Management training
- •Microsoft training
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Ontinue and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Ontinue
Industry
Security
Description
The company is a leading provider of AI-powered extended managed detection and response (MXDR) services.
Not a perfect match?
- Sunrise GmbH
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Senior Research Engineer - Security Foundation Models(m/w/x)
Full-timeOn-siteSeniorZürich - Sony Semiconductor Solutions
Machine Learning Engineer (Physical Modeling)(m/w/x)
Full-timeOn-siteExperiencedSchlieren - 3400 Accenture AG Company
FullStack AI Engineer(m/w/x)
Full-timeOn-siteExperiencedZürich - Sony Semiconductor Solutions
Machine Learning Engineer (Physical Modeling)(m/w/x)
Full-timeOn-siteExperiencedSchlieren