33 Jobs für Maschinelles Lernen in Schweiz

v.FISCHER INVESTAS ist eine Berner Institution. Seit 1873 kümmern wir uns ganzheitlich und kompetent um die Vermögenswerte unserer Kundinnen und Kunden. Dank unserer jahrzehntelangen Erfahrung sind wir heute eine führende Dienstleisterin in den Bereichen Vermögensverwaltung, Corporate Finance, Recht, Immobilien, Vorsorge und Family Office im Espace Mittelland. Mit der Individualität unserer Lösungen und der Exzellenz unserer Dienstleistungen setzen unsere rund 130 Mitarbeitenden den Branchenstandard – seit Generationen und für Generationen.

Zur Ergänzung unseres motivierten Teams suchen wir per sofort oder nach Vereinbarung eine:n
Projektleiter:in IT mit Schwerpunkt AI %)

Deine Aufgaben

• Gesamtverantwortung für die internen AI-basierten IT-Projekte
• Leitung und Koordination interdisziplinärer IT-Projekte im Bereich Digitalisierung und AI
• Analyse von Geschäftsprozessen und Identifikation von KI-Potenzialen
• Evaluation, Auswahl und Implementierung passender AI-Technologien in Zusammenarbeit mit Fachabteilungen und externen Partnern
• Stakeholder-Management (internes Management, IT-Dienstleister, Fachbereiche)
• Aufbau von KI-Standards und Know-how-Transfer innerhalb der Organisation
• Steuerung von Zeitplänen, Budgets und Qualitätszielen

Dein Profil

• Abgeschlossenes Studium in (Wirtschafts-)Informatik oder vergleichbare Ausbildung
• Mehrjährige Erfahrung in der Leitung von IT-Projekten, idealerweise mit AI-Bezug
• Fundierte Kenntnisse in Datenanalyse, Machine Learning und Automatisierungstechnologien
• Starkes unternehmerisches Denken, ausgeprägte Kommunikations- und Umsetzungsstärke
• Erfahrung im Finanzdienstleistungsumfeld von Vorteil

Das bieten wir dir

• Eine dynamische Unternehmenskultur mit flachen Hierarchien und kurzen Entscheidungswegen
• Grossen Gestaltungsspielraum und direkte Wirkung auf strategisch relevante Zukunftsprojekte
• Moderne Arbeitsumgebung und flexible Arbeitsmodelle (inkl. Home-Office)
• Attraktive Anstellungsbedingungen und gezielte Weiterbildungen im IT- und AI-Bereich
• Ein engagiertes Team, das Innovation lebt und sich auf deine Expertise freut

Bist du interssiert?

Dann freuen wir uns auf deine Bewerbung.

Bern, Schweiz | 80-100%

Diesen Beitrag kannst du leisten

• Entwicklung von innovativen, daten- und KI-gestützten Analysemodellen und Visualisierungen zur Beurteilung der Wirkung, Effizienz und Gesetzeskonformität staatlicher Ausgaben
• Mitarbeit bei hybriden Prüfverfahren
• Unterstützung von interdisziplinären Prüfteams bei daten- und KI-bezogenen Fragestellungen in Form von evidenzbasierten Erkenntnissen
• Konzipierung und Pflege von Datenpipelines wie auch Erhebung von strukturierten Datenbeständen für die Prüfungstätigkeit
• Förderung und Gestaltung der Weiterentwicklung einer datenbasierten Prüfkultur mittels Aufbau von Standards, Werkzeugen und Prozessen

Das macht dich einzigartig

• Hochschulabschluss in Data Science, Statistik, Mathematik, Wirtschaftsinformatik, Informatik oder vergleichbare Qualifikation mit einigen Jahren Berufserfahrung
• Fundierte Kenntnisse und praktische Erfahrung in Machine Learning, Datenmodellierung, Extract-Transform-Load-Prozess, statistische Verfahren sowie gängiger Tools (Python, R, SQL, Docker, Ollama, vLLM, MLFlow, etc.)
• Mehrjährige praktische Erfahrung in der Analyse umfangreicher, heterogener Datenmengen und Aufbau von KI-Systemen;
  Erfahrung im Auditbereich (interne oder externe Revision), in der Aufsicht oder in der prüfungsnahen Beratung von Vorteil
• Innovativ, integrativ, teamorientiert, zuverlässig, strukturiert, proaktiv und flexibel
• Sehr gute Kenntnisse zweier Amtssprachen sowie Englischkenntnisse

Auf den Punkt gebracht

Als Expert/-in für künstliche Intelligenz (KI), Datenwissenschaft und Datenanalyse gestaltest du den digitalen Wandel bei öffentlichen Prüfungen aktiv mit. In einem dynamischen Umfeld, in dem Daten eine Schlüsselrolle spielen, bringst du Licht in komplexe Datenlandschaften, entwickelst intelligente Analysewerkzeuge und leistest einen wertvollen Beitrag zur wirksameren Nutzung öffentlicher Mittel in der Schweiz. Bei uns verbindest du moderne Datenwissenschaft mit gesellschaftlicher Verantwortung. Deine Arbeit schafft Transparenz, fördert Effizienz und wirkt – direkt, nachhaltig und sinnstiftend.

Das bieten wir

• Arbeiten für die Schweiz Wir setzen uns für das Erfolgsmodell Schweiz ein und arbeiten zum Wohl der Bevölkerung.
• Gelebte Vielfalt Dank Chancengleichheit entfalten wir unsere Kompetenzen und bringen unterschiedliche Perspektiven ein.
• Gesund am Arbeitsplatz Wir unterstützen und beraten unsere Mitarbeitenden im Bereich der physischen und psychischen Gesundheit.

Alles ausser gewöhnlich

Wir von der Eidgenössischen Finanzkontrolle sind das oberste Finanzaufsichtsorgan des Bundes. Wir prüfen, ob die Verwaltung die Bundesmittel gesetzeskonform, sparsam und wirksam einsetzt. Ausserdem sind wir auch die unabhängige Anlaufstelle des Bundes für Whistleblowing. So unterstützen wir Parlament und Bundesrat bei der Wahrnehmung ihrer Aufsicht über die Verwaltung. Wir haben nicht nur aussergewöhnlich spannende Aufgaben, wir sind auch eine aussergewöhnliche Arbeitgeberin. Denn was du hier tust, ist wichtig für das Erfolgsmodell Schweiz. Du schaust genau hin und stellst sicher, dass Steuergelder wirkungsvoll eingesetzt werden. Wir sind eine Organisation mit einer klaren Struktur und kurzen Wegen. Du triffst hier auf 140 andere kluge Köpfe mit interessanten Biografien, die mit dir an komplexen Projekten arbeiten. So arbeiten macht Freude! In kleinen, jeweils individuell zusammengestellten Teams führen wir im Jahr über 150 Prüfungen durch. Dabei betreten wir immer wieder Neuland und prüfen den Umgang mit Themen, die die Schweiz bewegen. Zusätzlich zu einem breiten Fachwissen und einer guten Allgemeinbildung sind hier auch eine gute Portion Spürgeist und Neugierde gefragt.

Zusätzliche Informationen

Fachliche Auskünfte erteilt dir gerne:
Herr Bernhard Hamberger, Fachbereichsleiter Informatikprüfungen Tel. und
Herr Beat Stamm, Fachbereichsleiter Wirtschaftlichkeitsprüfungen und Digitale Transformation Tel.
Für Personalfragen wende dich bitte an:
Frau Gabi Tschofen, Leiterin Personal, Tel.
Bewirb dich bitte über unser Bewerbungsmanagementsystem. Klicke dafür auf «Jetzt bewerben».

Hello Network

I hope you're doing well today,

We are currently looking for a
Machine Learning Engineer
to work for a banking client in Zurich, Switzerland:

Expected start date: 1st Oct 2025

Contract Duration: 6 months

Languages Required:
English

Remote/Onsite/Hybrid:
Hybrid 3 days/week in client location

Location:
Zurich, Switzerland

Rate:
Negotiable

Client interview
: Yes

Years of exp required
: 7+ years

Travel Reimbursement
: No

Job Role:

• We are looking for a skilled AI/ML Engineer to design, develop, and implement machine learning models and AI-driven solutions.
• The ideal candidate will have a strong background in data science, programming, and deep learning frameworks, along with experience in deploying AI models into production environments.

Key Responsibilities:

• Develop and deploy machine learning models for various applications, including NLP, computer vision, and predictive analytics.
• Preprocess and analyze large datasets to extract meaningful insights.
• Build and optimize deep learning models using TensorFlow, PyTorch, or similar frameworks.
• Design and implement scalable AI solutions for real-world problems.
• Work with cross-functional teams to integrate AI models into applications and business processes.
• Optimize model performance, ensure robustness, and manage model retraining pipelines.
• Stay updated with the latest AI/ML trends, research papers, and technologies.

Required Skills & Qualifications:

• Bachelor's/Master's degree in Computer Science, Data Science, AI, or a related field.
• Strong proficiency in Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, OpenCV (or similar libraries).
• Experience with cloud platforms like AWS, GCP, or Azure for deploying AI models.
• Proficiency in working with databases (SQL, NoSQL) and big data technologies.
• Knowledge of MLOps, CI/CD for AI pipelines, and containerization (Docker, Kubernetes) is a plus.
• Familiarity with NLP, Computer Vision, and Reinforcement Learning techniques.
• Strong problem-solving and analytical skills with an ability to work in a fast-paced environment.

Preferred Qualifications:

• Experience with LLMs (Large Language Models) and Generative AI.
• Hands-on experience in AI model optimization, pruning, and quantization.
• Contributions to open-source AI/ML projects or relevant research publications.

If interested, or you know someone that could be, please reach out and we can arrange a time to speak?

We are seeking a skilled professional to join a team focused on building cutting-edge technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The solutions you help create will shape how people interact with digital platforms, enabling seamless search and discovery experiences across devices and applications.

This role offers the opportunity to work with one of the most advanced high-performance computing environments. You will be part of a group that designs and develops large-scale infrastructures to power search features, ensuring speed, quality, and scalability at large scale.

Responsibilities:

• Design and build infrastructure that supports large-scale search and discovery features.
• Process and analyze vast volumes of data to identify, rank, and surface the most relevant content.
• Apply statistical and machine learning techniques to improve retrieval quality, ranking, freshness, and performance.
• Work at the intersection of quality and system efficiency, balancing relevance with high-throughput requirements.
• Collaborate with cross-functional teams to deliver innovative, customer-focused solutions.

Minimum Qualifications:

• Strong background in machine learning, with practical expertise in major ML algorithms.
• Proficiency in at least one of programming languages (e.g., Go, Java, Python, Scala, C/C++, Rust).
• Solid foundation in algorithms and data structures.
• Strong interpersonal skills, with the ability to work independently and within a team.

Preferred Qualifications:

• Experience in information retrieval, retrieval-augmented generation (RAG), or ML applied to search and recommendation systems.
• Strong data analytical skills.
• Knowledge of scalable backend infrastructure, including profiling, debugging, and performance optimization.
• Proficiency with distributed computing platforms and technologies (e.g., AWS, GCP, Kubernetes, Spark).
• Experience designing and implementing large-scale data pipelines.

Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools.

Machine learning is revolutionising this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across pharma, biotech, agritech, foodtech, and academia.

We're an experienced team of roughly 60 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across two main locations, Zurich and Amsterdam, and are focused on building the best possible team culture.

We offer our employees a very competitive salary, a generous equity stake (for full time employees) in the company and a wide range of benefits and career progression opportunities.

Machine learning for biology has advanced rapidly over the past years and produced astonishing results. Most famous of all is probably AlphaFold, a protein structure prediction model based on a transformer architecture. Researchers have been able to transfer the amazing progress in Natural Language Processing to the domain of proteins, creating models that effectively "speak" the language of proteins. While interacting with biologists we recognized they would love to leverage these models, but lack the expertise to adapt them to their needs. This is where Cradle jumps in: we focus on taking state of the art intelligent algorithms and adapt them to solve concrete protein engineering problems, such as increasing thermal stability, solubility or activity for various enzymes. It is fascinating to see how machine learning and biology interact

For this challenge we are looking for software engineers who are excited to peek out of the virtual world and join us on integrating promising ML models in a protein design platform. Be ready to witness first hand what happens when you leave the bits and bytes behind and try to solve challenges with nature's constraints and complexity. We look for candidates who are not shy to take research papers or ML prototypes and turn them into scalable product features. Besides dealing with the ML models itself, a big part of your job will be to build the necessary infrastructure around the machine learning models to make them accessible and useful to biologists.

Responsibilities:

As a software engineer in machine learning, you would be responsible to:

• Take an algorithm from a research project and transform it into robust, well-tested, functional code
• Support the team in establishing a stable, high quality and flexible software engineering process.
• Set up validations and benchmarks to ensure a high quality of ML models.
• Collaborate with biologists, software engineers and scientists alike and learn to understand their domain
• Contribute to open source software and establish a community around Cradle and its platform

• You have 3+ years of experience in developing back-end systems
• You have 1+ years of experience in developing, deploying and maintaining machine learning models
• Proficiency with Python or a similar dynamic programming language.
• You have strong problem solving skills, and an exquisite mastery of fundamental algorithms and data structures. You write readable code.
• You are kind and work well in teams. We look for team players who contribute to a positive and friendly working environment.

• You have experience with developing backend systems in modern cloud environments
• You have worked with natural language processing models or models applied to protein sequence-to-function relationships

A notice about recruitment scams: Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.

Evaluation of your application using AI. Cradle may use artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications. The AI/ML-generated assessments are one of several factors considered in the hiring process. Our human recruiters thoroughly evaluate your skills and qualifications to determine your suitability for the role.

Apple is where individual imaginations gather together, committing to the values that lead to great work. We are a group of engineers and researchers building multimodal foundation models at Apple, with a particular focus on image understanding and generation. We build infrastructure, datasets, and models with fundamental general capabilities and work with a cross-functional partners to apply these models to ship features to millions of users. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.

Description

We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge. You will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas not only published in papers, and also improve the experience of millions of users.

Minimum Qualifications

• Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL)
• Deep understanding of multi-task, multi-modal machine learning domain
• Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
• PhD, or equivalent practical experience, in Computer Science, or related technical field

Preferred Qualifications

• A track record in applying deep learning techniques to shipping products
• Multi-modal perception for existing products and future hardware platforms
• On-device intelligence and learning with strong privacy protections
• Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems.
  Ability to collaborate closely with globally distributed teams.

Envoyer un CV

Lightly AG is an official ETH and HSG Spin-off in the field of machine learning and computer vision. Its products are used by leading companies in autonomous driving, medical imaging, and visual inspection to curate visual machine learning data.

Lightly consists of a small team of talented developers, researchers, and business developers in Zurich, who all have a massive impact on the business and product. The company is backed by Y-Combinator, Wingman Ventures, and Soma Capital.

Tasks

At Lightly, our mission is to drive the democratization of artificial intelligence through open-source innovation. Our flagship repository, Lightly, is the leading framework for training self-supervised and foundation models.

We believe in a community-driven approach to AI advancement and strive to empower developers and organizations with the tools they need to create transformative AI solutions. Our open-source commitment is central to this mission, fostering collaboration and innovation within the global AI community.

As a Machine Learning Evangelist at Lightly, you will be a key player in our mission to build and nurture a vibrant open-source community. You will engage directly with developers, data scientists, and AI enthusiasts to promote Lightly, create compelling technical content, and contribute to the ongoing development of our platform

Responsibilities:

Community Engagement (20% of time)

• Actively participate in community forums, including GitHub, Stack Overflow, and Slack/Discord channels, addressing questions and fostering discussions.

• Organize and host virtual meetups, webinars, and other community events to engage and grow our user base.

• Develop and manage community programs, such as ambassador or advocate initiatives, to encourage community involvement and contribution.

Content Creation (40% of time)

• Generate high-quality technical content, including blog posts, tutorials, screencasts, and conference talks that educate and inspire our community.

• Collaborate with the product and engineering teams to produce content that highlights new features, use cases, and best practices.

Product Contribution (40% of time)

• Contribute to the development of Lightly, particularly in areas related to community feedback and user experience improvements.

• Assist in the creation of product documentation and guides to ensure ease of use for new and existing users.

Requirements

Who we are looking for:

• Professional experience in machine learning or data science (2+ years preferred).

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

• Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

• Experience with open-source projects, either as a maintainer or active contributor.

• Strong written and verbal communication skills, with a demonstrated ability to create engaging technical content.

• Passion for building and nurturing community relationships and fostering a collaborative environment.

Nice to Have:

• Experience with computer vision applications.

• Prior experience in a developer advocacy or technical marketing role.

• Familiarity with collaborative development tools (e.g., GitHub, Slack).

Important:
We believe in people who are driven by curiosity and are willing to learn and take the next step. Please also reach out if you don't exactly "check all these boxes".

Benefits

• Competitive salary, depending on experience.

• Equity options to share in the success of our company.

• Flexible working hours and a remote-friendly work environment.

• Comprehensive benefits package, including financial support for sports/health, mobility, and education.

• Opportunities for professional growth and development in an innovative and supportive team.

• Optional: Office in the heart of Zurich next to the central station with Snacks

• Company events, retreats, and offsites

If you're passionate about AI and open source, and you thrive in a community-centric environment, we'd love to hear from you

Apply Now:
Please include your resume, a cover letter, and links to any relevant projects or content you've created.