20 meilleures offres (engineer, dietikon, zh) (à pourvoir)

Machine Learning Engineer 100% (f/m/d)
Julius Baer —Zürich, ZH
- 100%
- Niveau Master
- Esprit d'analyse
- Niveau Licence
il y a 11 jours
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indie Semiconductor —Schlieren, ZH
- 100%
- Anglais
- Niveau Master
- Bases de données
Staff Frontend Engineer (f|m|d) | (80-100%) | Hybrid working model | Zurich
SMG Swiss Marketplace Group AG Switzerland —Zürich, ZH
- Travail hybride
- Bar
- Gestion du personnel
- Anglais
- Congé parental payé
Postuler rapidement
Strategy and Transformation Consultant - Life Science
Capgemini —Zürich, ZH
- Microsoft Powerpoint
- Microsoft Excel
- Niveau Doctorat
- Programme de recommandation
UX Designer (m/w)
Ärztekasse Genossenschaft —Urdorf, ZH
- 100%
- Anglais
- Recherche
- Compétences en communication
il y a 13 jours
Commodity Site Leader - Heavy Duty Gas Turbines
GE Vernova —Baden, AG
- De 110 880 CHF à 181 300 CHF par an
- 100%
- Gestion du personnel
- Niveau Licence
- Leadership
- Jours fériés payés
- Congés payés
Logistics Specialist, ZRH Logistics
Amazon Data Services Switzerland GmbH —Zürich, ZH
- 100%
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
Strategy and Transformation Consultant - Life Science
Capgemini Sogeti —Zürich, ZH
- Microsoft Powerpoint
- Microsoft Excel
- Niveau Doctorat
- Programme de recommandation
UX Engineer, Privacy, Safety and Security
Google —Zürich, ZH
- 100%
- Niveau Master
- Esprit d'analyse
- Niveau Licence
il y a 10 jours
Junior Sensor Validation & Test Engineer
Bota Systems AG —Zürich, ZH
- 100%
- Anglais
- Niveau Master
- Niveau Licence
Postuler rapidement
Research Software Engineer for Computational Mass Spectrometry
ETH Zürich —Zürich, ZH
- Temps partiel
- Gestion du personnel
- Niveau Doctorat
- Anglais
Product Compliance and Sustainability Expert
DECTRIS —Baden, AG
- 100%
- Télétravail
- Gestion du personnel
- Anglais
- Niveau Master
il y a 5 jours
Onsite Support Services Engineer
Cognizant —Zürich, ZH
- 100%
- Travail hybride
- Gestion du personnel
- Anglais
- AWS
System Engineer 100% (f/m/d)
Julius Baer —Zürich, ZH
- 100%
- Oracle
- Anglais
- Windows
Product Owner - Search (f/m/d)
Digitec Galaxus AG —Zürich, ZH
- Temps partiel
- Anglais
- Niveau Master
- Niveau Licence
Head of Platform Engineering (w/m)
Ärztekasse Genossenschaft —Urdorf, ZH
- 100%
- Gestion du personnel
- Anglais
- Leadership
Data Center Technician (DCO), Data Center Operations
Amazon Data Services Switzerland GmbH —Zürich, ZH
- 100%
- Bar
- Microsoft Excel
- AWS
Manufacturing Engineer - Tooling (BKM) (f/m/d)
GE Vernova —Birr, AG
- 100%
- Anglais
- Sens de l'organisation
- Production
AI Engineer / Consultant - Internship
Artifact —Zürich, ZH
- 100%
- Travail hybride
- Anglais
- SQL
- AWS
Quality Engineer
Abbott Laboratories —Zürich, ZH
- 100%
- Anglais
- Niveau Licence
- Sans diplôme d'enseignement supérieur

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : engineer (dietikon, zh)

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Machine Learning Engineer 100% (f/m/d)

Julius Baer -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%
Il y a 11 jours

Qualifications

Niveau Master
Esprit d'analyse
Niveau Licence
Développement logiciel
Compétences en communication
Python
Debugging

Description complète du poste

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

We are seeking a skilled machine learning engineer (ML Eng) to join one of our agile development teams in our ML & AI ART. In this role, you will play a key part in designing, building, and maintaining robust, scalable AI solutions within a DevOps environment. You'll contribute across the entire lifecycle - from concept to deployment - and collaborate closely with cross-functional teams to deliver high-quality digital solutions.

YOUR CHALLENGE

Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges.
Create multi-agent systems and equip AI models with function/tool-calling capabilities
Design and implement RAG systems to ground AI responses in enterprise data
Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability
Optimize agentic workflows and AI agents for production use cases
Testing and optimizing system prompts and few-shot example to ensure accurate , consistent, and safe AI outputs
Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them
Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

YOUR PROFILE

Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
Continuous learning mindset, with a passion for staying up-to-date with the latest advancements in machine learning and artificial intelligence
Attention to detail and commitment to producing high-quality, reliable, and maintainable code
Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch
Proven experience working with Large Language Models (LLMs)
Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
Understanding software development best practices, including version control, testing, and documentation
Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
Relevant work experience in machine learning, data science or a related field

We are looking forward to receiving your full job application through our online application tool.

Soumettre votre candidature

Affinez votre recherche

engineer emplois - dietikon, zh

Machine Learning Engineer 100% (f/m/d)

Product & Test Engineer

Staff Frontend Engineer (f|m|d) | (80-100%) | Hybrid working model | Zurich

Strategy and Transformation Consultant - Life Science

UX Designer (m/w)

Commodity Site Leader - Heavy Duty Gas Turbines

Logistics Specialist, ZRH Logistics

Strategy and Transformation Consultant - Life Science

UX Engineer, Privacy, Safety and Security

Junior Sensor Validation & Test Engineer

Research Software Engineer for Computational Mass Spectrometry

Product Compliance and Sustainability Expert

Onsite Support Services Engineer

System Engineer 100% (f/m/d)

Product Owner - Search (f/m/d)

Head of Platform Engineering (w/m)

Data Center Technician (DCO), Data Center Operations

Manufacturing Engineer - Tooling (BKM) (f/m/d)

AI Engineer / Consultant - Internship

Quality Engineer

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : engineer (dietikon, zh)

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