7 meilleures offres (devops/system engineer) (à pourvoir)

Machine Learning Engineer 100% (f/m/d)
Julius Baer —Zürich, ZH
- 100%
- Niveau Master
- Esprit d'analyse
- Niveau Licence
17 h
AIV Engineer
ClearSpace —Renens, VD
- 100%
- Développement logiciel
Postuler rapidement
il y a 3 jours
Solutions Architect
Blockstream —Zürich, ZH
- 100%
- Gestion du personnel
- Anglais
- Java
Postuler rapidement
Senior Project Manager, Delivery
Blockstream —Zürich, ZH
- 100%
- Gestion du personnel
- PMP
- Anglais
Postuler rapidement
Director, Platform and Integration Lead
Blockstream —Zürich, ZH
- 100%
- Gestion du personnel
- Anglais
- AWS
Postuler rapidement
Solution Architect
DeepJudge —Zürich, ZH
- 100%
- Bases de données
- Niveau Licence
Platform Engineer (Kubernetes & Infrastructure) 80–100%
Prime21 AG —Suisse
- 100%
- Télétravail
- Anglais
- Bases de données
- Linux

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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 17 heures

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.

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devops/system engineer emplois

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

AIV Engineer

Solutions Architect

Senior Project Manager, Delivery

Director, Platform and Integration Lead

Solution Architect

Platform Engineer (Kubernetes & Infrastructure) 80–100%

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