20 beste Stellen als data architect in zürich, zh – aktuell auf Personalsuche

Sr. Machine Learning Engineer
QSC, LLC —Zürich, ZH
- 100%
- Doktorat
- Master
- C++
Senior Solutions Architect, Enterprise FSI, Switzerland
AWS EMEA SARL (Switzerland Branch) —Zürich, ZH
- 100%
- Englisch
- Master
- AWS
Lead - Treasury & Corporate Finance Analytics & Reporting
On AG —Zürich, ZH
- Englisch
- Analysefähigkeit
- Erfahrung in der IT
12 Tage
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Datahouse AG —Zürich, ZH
- Homeoffice
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Tetragon Threat Detection Engineer - Isovalent
Cisco Systems —Zürich, ZH
- 100%
- Homeoffice
- Linux
- Kommunikationsfähigkeit
Senior Backend Developer
TTMS Schweiz AG —Zürich, ZH
- Homeoffice
- JavaScript
- Kommunikationsfähigkeit
Direkt bewerben
Senior Product Manager - Observe by Snowflake, Enterprise
Snowflake —Zürich, ZH
- SQL
- Kommunikationsfähigkeit
Sr. Cloud Solution Architect (100%)
Chocoladefabriken Lindt & Sprüngli AG —Kilchberg, ZH
- 100%
- Spanisch
- Englisch
- AWS
Director of Global Customer Service
On AG —Zürich, ZH
- Kundendienst
- Englisch
- Erfahrung in der IT
12 Tage
Customer Engineer, Platform, Retail, Travel and Logistics (German)
Google —Zürich, ZH
- 100%
- Bachelor
- Ohne Hochschulabschluss
- Organisationstalent
System Architect for GPS ART (f/m/d) 100%
Julius Baer —Zürich, ZH
- 100%
- Englisch
- Java
- Master
Salesforce Solution Architect
Kreis 1 Consulting —Zürich, ZH
- Homeoffice
- Salesforce
- Englisch
- Marketing
Direkt bewerben
Platform Owner 100% (f/m/d)
Julius Baer —Zürich, ZH
- 100%
- Management-Erfahrung
- Englisch
- Master
ML Infra Engineer
Flexion Robotics —Zürich, ZH
- 100%
- AWS
- Erfahrung mit Netzwerken
- Vor Ort
Direkt bewerben
Head of Non-Financial Reporting
On AG —Zürich, ZH
- Englisch
- Erfahrung in der IT
- Führungserfahrung
11 Tage
Senior Analytics Engineer - Customer Operations (f/m/d)
Digitec Galaxus AG —Zürich, ZH
- Teilzeit
- Datenanalyse
- Englisch
- SQL
Satellite Communication Systems Engineer
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Erfahrung in der IT
- Kommunikationsfähigkeit
- Python
Direkt bewerben
Senior Lead - Apparel Development
On AG —Zürich, ZH
- Englisch
- Master
- Bachelor
Forward Deployed Engineer – Audit & Assurance Technology
KPMG —Zürich, ZH
- 100%
- Homeoffice
- Informatik
- Master
- Bachelor
- Homeoffice-Möglichkeit
- Eltern-/Erziehungsurlaub
People Operations Manager
Cradle —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Microsoft Excel
- Management-Erfahrung
- Master

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Sr. Machine Learning Engineer

QSC, LLC -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Qualifikationen

CI/CD
Doktorat
Master
C++
Docker
Kommunikationsfähigkeit
Python

Vollständige Stellenbeschreibung

Overview:

As a Senior ML Engineer in the intelligent AV pod, you will be responsible for evaluating, integrating, and optimizing state-of-the-art machine learning models that power the perception and awareness engine behind Q-SYS VisionSuite.

This position emphasizes strong engineering execution: systematically benchmarking external and internal models, selecting the right techniques for production constraints, and ensuring robust deployment in real-time, resource-constrained AV environments.

You will work closely with ML, Robotics, and Software Engineers to advance VisionSuite as a reliable, maintainable, and high-performance solution for smart meeting spaces and intelligent buildings.

This position is based in Zurich, Switzerland (hybrid).

Your mindset

Engineering-First ML Practitioner: You prioritize robustness, reliability, and maintainability over novelty.
Strong Software Engineer: You design modular, testable, and extensible systems and apply software engineering best practices consistently.
Production-Oriented Thinker: You consider latency, memory, hardware constraints, observability, and lifecycle management from day one.
Data-Driven Evaluator & Pragmatist: You treat data as a first-class component of the system, design robust evaluation datasets, and rigorously benchmark alternatives to select solutions based on measurable trade-offs.
System-Level Collaborator: You think beyond the model and understand how ML components interact with robotics, control logic, and distributed AV systems.

Responsibilities:

Evaluate and benchmark state-of-the-art ML models and algorithms for perception, tracking, and multimodal awareness.
Design and maintain reproducible evaluation pipelines measuring model performance, latency, memory footprint, and robustness.
Integrate ML models into production systems in collaboration with Robotics and Platform teams.
Optimize inference pipelines for real-time performance on constrained hardware (CPU/GPU/edge devices, Q-SYS Cores).
Improve model efficiency using quantization, pruning, distillation, and runtime optimization techniques.
Write production-grade Python (and C++ where appropriate) following clean architecture and modular design principles.
Contribute to CI/CD pipelines, automated testing, regression validation, and performance monitoring for ML components.
Ensure reproducibility, versioning, and traceability of models, datasets, and experiments.
Collaborate to industrialize promising prototypes into scalable production systems.
Work with Product and System Architects to align ML solutions with hardware and product roadmap constraints.

Qualifications:

MSc or PhD in Computer Science, Engineering, Robotics, or related technical field.
5+ years of hands-on experience in machine learning engineering or applied ML roles.
Proven experience integrating ML models into production systems.
Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, ONNX).
Solid software engineering fundamentals, including modular design, code reviews, testing strategies, and CI/CD.
Experience optimizing models for real-time or resource-constrained environments.
Understanding of system-level trade-offs in latency-sensitive or distributed architectures.
Ability to work independently and drive technical decisions within architectural guidelines.
Strong communication skills and experience collaborating in cross-functional engineering teams.
Preferred experience with one or more of the following:
Experience with computer vision, tracking, or multimodal perception systems.
Experience with C++ in performance-critical environments.
Familiarity with AV systems, media pipelines, or robotics-oriented architectures.
Exposure to ROS, TensorRT, or MLOps tools (MLflow, Weights & Biases, Docker).

Jetzt bewerben

Erweiterte Suche

data architect Jobs in zürich, zh

Sr. Machine Learning Engineer

Senior Solutions Architect, Enterprise FSI, Switzerland

Lead - Treasury & Corporate Finance Analytics & Reporting

System Architect Wüest Dimensions 80-100% (w/m/d)

Tetragon Threat Detection Engineer - Isovalent

Senior Backend Developer

Senior Product Manager - Observe by Snowflake, Enterprise

Sr. Cloud Solution Architect (100%)

Director of Global Customer Service

Customer Engineer, Platform, Retail, Travel and Logistics (German)

System Architect for GPS ART (f/m/d) 100%

Salesforce Solution Architect

Platform Owner 100% (f/m/d)

ML Infra Engineer

Head of Non-Financial Reporting

Senior Analytics Engineer - Customer Operations (f/m/d)

Satellite Communication Systems Engineer

Senior Lead - Apparel Development

Forward Deployed Engineer – Audit & Assurance Technology

People Operations Manager

Ich möchte aktuelle Job-E-Mails für Stellen als data architect in zürich, zh erhalten

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