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Job Title: Machine Learning / Artificial Intelligence Engineers
Job Type: Full-time (80% – 100%)
Location: Zurich (hybrid and flexible)
We have partnered with one of the leading health technologies, and they are now looking for machine learning and AI engineers to solve real-world challenges and create transformative solutions.
What You’ll Do
Apply Now
Job Type: Full-time (80% – 100%)
Location: Zurich (hybrid and flexible)
We have partnered with one of the leading health technologies, and they are now looking for machine learning and AI engineers to solve real-world challenges and create transformative solutions.
What You’ll Do
- Build and deploy scalable AI-powered web applications using modern frameworks like Node.js, React, and TypeScript.
- Develop machine learning workflows with a focus on large language models (LLMs) and natural language processing (NLP).
- Collaborate with cross-functional teams to design, implement, and optimize AI solutions.
- Stay updated on AI advancements and apply them to real-world projects.
- Ensure reliability, efficiency, and performance in AI model deployment.
- Strong experience with web application development (Node.js, React, TypeScript).
- Proficiency in Python for integrating ML/AI components.
- Knowledge of cloud-based and local model deployments, vector databases, and MLOps/DevOps best practices.
- Solid foundation in applied machine learning, including LLMs and NLP workflows.
Apply Now
Key Skills
Ranked by relevance
ai
machine learning
react
natural language processing
artificial intelligence
python
cloud
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- Posted
- Oct 25, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Zurich
- Company
- Oliver James
Industries
Staffing
Recruiting
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
Related
Machine learning engineer
2026-02-27
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Australia
Staffing
Engineering
View Job Details
Related
Research Engineer
2026-05-26
Full-time
Not Applicable
Switzerland
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Engineering
View Job Details
Related
Software Engineer III, YouTube Streaming Trust and Safety
2026-05-20
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Not Applicable
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Information Technology