The AI Job Search Engine
Applied AI Engineer(m/w/x)
Description
In this role, you will focus on enhancing automated translation capabilities and fine-tuning machine learning models. Your work will involve building scalable engineering pipelines and contributing to global recommendation systems while collaborating with various stakeholders.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Strong Python engineering skills
- •Experience with Terraform and CI/CD pipelines
- •Understanding of machine-learning concepts and experience fine-tuning models
- •Ability to design and maintain scalable pipelines and generalisable engineering solutions
- •Degree in Computer Science or a related field, or equivalent experience
- •Fluency in English; German is an advantage
Education
Work Experience
1 - 2 years
Tasks
- •Implement and optimize automated translation workflows integrated with the CMS
- •Fine-tune existing ML models for market-specific performance
- •Build reliable, reusable, and easily scalable engineering pipelines
- •Contribute to recommendation-system capabilities for global rollout
- •Ensure robust and maintainable infrastructure aligned with Terraform-based deployment
- •Participate in sprint planning and collaborate with Data, AI, and CMS stakeholders
Tools & Technologies
Languages
English – Business Fluent
German – Basic
Benefits
Healthcare & Fitness
- •Additional health insurance coverage
- •Subsidy for UrbanSportsClub membership
Flexible Working
- •30 days of remote work allowance
More Vacation Days
- •Up to 33 days annual vacation allowance
Additional Allowances
- •70 EUR monthly cashback for daily expenses
- •Self-development days allowance
Learning & Development
- •500 EUR yearly personal learning budget
Team Events
- •Team events
Bonuses & Incentives
- •Referral bonus for employees
Mental Health Support
- •Employee Assistance Programme for mental well-being
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Applied AI Engineer(m/w/x)
The AI Job Search Engine
Description
In this role, you will focus on enhancing automated translation capabilities and fine-tuning machine learning models. Your work will involve building scalable engineering pipelines and contributing to global recommendation systems while collaborating with various stakeholders.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Strong Python engineering skills
- •Experience with Terraform and CI/CD pipelines
- •Understanding of machine-learning concepts and experience fine-tuning models
- •Ability to design and maintain scalable pipelines and generalisable engineering solutions
- •Degree in Computer Science or a related field, or equivalent experience
- •Fluency in English; German is an advantage
Education
Work Experience
1 - 2 years
Tasks
- •Implement and optimize automated translation workflows integrated with the CMS
- •Fine-tune existing ML models for market-specific performance
- •Build reliable, reusable, and easily scalable engineering pipelines
- •Contribute to recommendation-system capabilities for global rollout
- •Ensure robust and maintainable infrastructure aligned with Terraform-based deployment
- •Participate in sprint planning and collaborate with Data, AI, and CMS stakeholders
Tools & Technologies
Languages
English – Business Fluent
German – Basic
Benefits
Healthcare & Fitness
- •Additional health insurance coverage
- •Subsidy for UrbanSportsClub membership
Flexible Working
- •30 days of remote work allowance
More Vacation Days
- •Up to 33 days annual vacation allowance
Additional Allowances
- •70 EUR monthly cashback for daily expenses
- •Self-development days allowance
Learning & Development
- •500 EUR yearly personal learning budget
Team Events
- •Team events
Bonuses & Incentives
- •Referral bonus for employees
Mental Health Support
- •Employee Assistance Programme for mental well-being
About the Company
TELUS Health
Industry
Healthcare
Description
TELUS Health is a global-leading health and well-being provider, improving health outcomes for consumers, patients, and healthcare professionals.
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