20 beste Stellen als machine learning engineer in zürich zh – aktuell auf Personalsuche

Sr. DevOps Engineer
QSC, LLC —Zürich, ZH
- 100%
- Management-Erfahrung
- C++
- Bachelor
Senior Natural Catastrophe Specialist, Vulnerability (80-100%), Zurich (Zurich, CH)
Swiss Re —Zürich, ZH
- CHF 130’000 - CHF 194’000 pro Jahr
- Doktorat
- Master
- Datenbanken
AI4IT Development Squad Lead 80 - 100% (m/f/d)
Dormakaba Group —Rümlang, ZH
- Informatik
- Management-Erfahrung
- Bis zu 50% Reiseanteil
Software Engineer III, Infrastructure
Google —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
8 Tage
Senior Software Research Engineer
Align Technology —Zürich, ZH
- 100%
- Doktorat
- CAD
- Englisch
Direkt bewerben
PhD position in neuroimaging: functional MRI in the spinal cord
Universität Zürich —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
- Weiterbildungen
AI Research Engineer - Dexterous Manipulation (Egocentric Models)
Flexion Robotics —Zürich, ZH
- Doktorat
- Master
- Python
Direkt bewerben
DevOps Engineer /Deployment Manager
b-rayZ AG —Zürich, ZH
- Teilzeit
- Management-Erfahrung
- Englisch
- AWS
Lead Data Scientist (Supply Chain Forecasting)
On AG —Zürich, ZH
- Doktorat
- Master
- SQL
Quant Engineer - Capital Market Technologies
Swiss Quant —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Doktorat
- Englisch
- Java
Direkt bewerben
Senior ML Engineer (Zürich)
Lakera —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Master
Team Lead - Electrical Machine Development (m/f/x)
Everllence SE —Zürich, ZH
- Englisch
- Forschungserfahrung
- Master
Team Lead - Data Architecture
Sika —Zürich, ZH
- 100%
- Erfahrung in der IT
- Führungserfahrung
- Kommunikationsfähigkeit
Senior AI Research Engineer, Visual Perception
ANYbotics —Zürich, ZH
- Teilzeit
- Doktorat
- C++
- Kommunikationsfähigkeit
Deep Learning Specialist B2B Process Industry (m/w/d)
GLONETPARTNERS —Zürich, ZH
- Hybrides Arbeiten
- Doktorat
- Salesforce
- Englisch
Sr. GenAI & ML Specialist Solutions Architect, ASPI Auto & Manufacturing
AWS EMEA SARL (Switzerland Branch) - G96 —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Vision & Perception Engineer - Humanoid (Mensch)
Neura Robotics —Zürich, ZH
- 100%
- Datenanalyse
- Master
- C++
Direkt bewerben
ICT System Engineer Linux (all genders)
BSI Software AG —Baar, ZG
- 100%
- Englisch
- Master
- Bachelor
AI-Powered Content & Innovation Praktikum ab 01.07.26 (80%–100%)
local.ch —Zürich, ZH
- Teilzeit
- Englisch
- Marketing
- Pendlerbeitrag
- Homeoffice-Möglichkeit
6 Tage
Big Data & Platform Engineer 80-100%
AMAG Group —Cham, ZG
- Teilzeit
- Englisch
- SQL
- Python

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Sr. DevOps Engineer

QSC, LLC -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Qualifikationen

CI/CD
Management-Erfahrung
Bash
C++
Docker
Bachelor
JavaScript
Terraform
Scripting
Softwareentwicklung
GitHub
Linux
Robotik
GitLab
Python
Debugging

Vollständige Stellenbeschreibung

Overview:

As a Senior DevOps Engineer in the intelligent AV team, you will be a key member of the iAV Platform team. In this role, you will collaborate with experienced Software, Robotics, and Machine Learning Engineers to advance the next generation of intelligent audio-video systems for meeting spaces and smarter buildings. Your focus will be on improving our pace and ability to deliver high-quality software by developing and maintaining infrastructure and automation for the VisionSuite product and the broader Q-SYS platform.

You will design and evolve CI/CD tooling, pipelines, and testing frameworks, track development metrics, and build infrastructure that empowers engineers to deliver reliably and efficiently. Your expertise will also help us distribute our application across the edge and extend it into the cloud, leveraging Azure and modern DevOps practices to serve customers from Fortune 100 boardrooms, auditoria and meeting spaces around the world.

This position is a hybrid position based in Zurich, Switzerland.

Responsibilities:

Your mindset:

You have a strong distaste for friction and care deeply about your team’s ease and speed of development.
You love to architect and build infrastructure, both in the cloud and at the edge.
You champion continuous improvement, share best practices, and uplift your team.
You have a strong belief in software development best practices.
You apply a systematic, data-driven approach to problem-solving.
You are passionate, persistent, and creative in finding solutions to difficult problems.
Your instinct is to simplify and automate.

Essential Functions:

Enhance and maintain tools and infrastructure for efficient software development by understanding and addressing the needs of the development teams.
Support the creation of reliable and consistent software releases, coordinating with the broader release team when required.
Oversee and improve automated CI/CD pipelines (GitLab, GitHub), maintaining cloud infrastructure in Google Cloud and Azure for runners and ensuring fast, reliable delivery.
Collect and analyze development metrics to enhance pipeline architecture and improve speed, reliability, and efficiency.
Develop and maintain scalable Infrastructure as Code (IaC) for all infrastructure (Terraform, Bicep, Ansible).
Promote and implement DevOps and Security best practices, including CI/CD security integration (SAST, SCA, DAST).
Mentor and advise other engineers and advocate for automation and continuous improvement across the team.
Contribute to platform and product features with a focus on deployment, scalability, security, and backend infrastructure.
Stay current with emerging trends in cloud technologies, DevOps, and automation.

Qualifications:

Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or equivalent.
7+ years of experience in a software development environment, with at least 5 years in DevOps, Build & Release, or Site Reliability Engineering.
Strong programming/scripting skills in Python, Bash or JavaScript.
Strong software design, problem-solving, and debugging skills.
Strong Linux background and familiarity with development workflows and tooling on Linux.
Deep experience with building and maintaining CI/CD pipelines (some of GitLab, GitHub, Azure DevOps, Jenkins).
Proven expertise with major cloud providers, with preference for Azure.
Strong experience with Docker and containerization technologies; familiarity with orchestration tools such as Kubernetes and Helm is a plus
Hands-on experience with IaC, primarily Terraform and Ansible
Familiarity with security best practices for CI/CD pipelines, container security, and secrets management.
Excellent interpersonal skills, capable of independent work and cross-team collaboration.
Preferred experience with one or more of the following:
Development experience with TypeScript, C/C++, Rust, or Go. Experience with monitoring and logging stacks (Grafana, Prometheus, Elasticsearch).
Experience with virtualization tools (KVM, libvirt).
Hands-on experience with enterprise-scale CI/CD for microservice-based cloud applications.

Jetzt bewerben

Erweiterte Suche

machine learning engineer Jobs in zürich zh

Sr. DevOps Engineer

Senior Natural Catastrophe Specialist, Vulnerability (80-100%), Zurich (Zurich, CH)

AI4IT Development Squad Lead 80 - 100% (m/f/d)

Software Engineer III, Infrastructure

Senior Software Research Engineer

PhD position in neuroimaging: functional MRI in the spinal cord

AI Research Engineer - Dexterous Manipulation (Egocentric Models)

DevOps Engineer /Deployment Manager

Lead Data Scientist (Supply Chain Forecasting)

Quant Engineer - Capital Market Technologies

Senior ML Engineer (Zürich)

Team Lead - Electrical Machine Development (m/f/x)

Team Lead - Data Architecture

Senior AI Research Engineer, Visual Perception

Deep Learning Specialist B2B Process Industry (m/w/d)

Sr. GenAI & ML Specialist Solutions Architect, ASPI Auto & Manufacturing

Vision & Perception Engineer - Humanoid (Mensch)

ICT System Engineer Linux (all genders)

AI-Powered Content & Innovation Praktikum ab 01.07.26 (80%–100%)

Big Data & Platform Engineer 80-100%

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer in zürich zh erhalten

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