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4 machine learning engineer jobs found in Zürich

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Artificial Intelligence Zürich machine learning engineer
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Check Point Software Technologies
18/08/2026
Full time
Senior ML Engineer, AI Security
Check Point Software Technologies Zürich, ZH, Switzerland
Company Description As the world’s leading vendor of Cyber Security, facing the most sophisticated threats and attacks, we’ve assembled a global team of the most driven, creative, and innovative people. At Check Point, our employees are redefining the security landscape by meeting our customers’ real-time needs and providing our cutting-edge technologies and services to an ever-growing customer base. Check Point Software Technologies has been honored by Time Magazine as one of the World’s Best Companies for 2024 and Newsweek’s 2025 list of Americas Best Cybersecurity Companies. We've also earned a spot on the Forbes list of the World’s Best Places to Work for five consecutive years (2020-2024) and recognized as one of the World’s Top Female-Friendly Companies. If you're passionate about making the world a safer place and want to be part of an award-winning company culture, we invite you to join us. Job Description Example projects Extend the scope of one of our...
cybergap
14/08/2026
Full time
AI Security Engineer (m/f/d) 100% (140´000 CHF)
cybergap Zürich, ZH, Switzerland
As an AI Security Engineer, you will be responsible for securing AI-powered applications, machine-learning systems and emerging generative AI technologies against cyber threats. You will work at the intersection of Cyber Security, Artificial Intelligence and Software Engineering, helping organisations identify and mitigate security risks throughout the entire AI lifecycle. You will collaborate closely with Security, Engineering, Data Science, Cloud and IT teams to build secure and resilient AI environments. Responsibilities: Design and implement security controls for AI and Machine Learning systems Assess security risks associated with Generative AI, LLMs and AI-powered applications Perform security assessments and threat modelling of AI systems Identify and mitigate vulnerabilities such as prompt injection, data poisoning, model manipulation, model extraction and adversarial attacks Develop security architectures for AI/ML platforms and applications...
Destinus
27/07/2026
Full time
AI Engineering Intern
Destinus Zürich, ZH, Switzerland
About the Role imagine this. You are building the next generation of autonomous flight intelligence, transforming how drones are operated in high pressure environments where speed, precision, and decision making matter most. As an AI Engineering Intern, you will work at the intersection of artificial intelligence, robotics, and edge computing, developing systems that allow operators to control FPV drones through natural language commands. This is not about theoretical research sitting in a lab. This is hands on engineering with real world impact, pushing autonomous systems into the future of aerospace and defense. At Destinus, we are revolutionizing the defense industry with cutting-edge Unmanned Aerial Vehicles UAVs. Our innovative technologies are designed to meet the unique demands of modern defense operations, delivering unparalleled speed, precision, and cost effectiveness. Destinus partners with government agencies and defense organizations worldwide to provide...
LGT Gruppe Holding AG
23/07/2026
Full time
AI Operations Specialist – FinOps & AI Cost Management 80-100% (w/m/d)
LGT Gruppe Holding AG Zürich, ZH, Switzerland
About Us LGT is the world's largest private banking and asset management group owned by an entrepreneurial family. As the family office of the Princely House of Liechtenstein, we offer you many years of experience in managing substantial assets. Your responsibilities We are looking for an AI Operations Specialist to support us in managing and optimizing AI costs across projects, products, and platforms. This role combines hands-on analysis, stakeholder consulting, and governance to make the use of AI more transparent, efficient, and financially sustainable. They work closely with developers, data scientists, AI users, platform teams, and finance to understand how AI services are used, where costs arise, and how usage can be improved. They analyze unusual consumption patterns, question inefficient setups, and support teams in making more informed decisions regarding model usage, infrastructure, and budgeting. This role is...

 

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