Sunrise GmbH
AI/ML Engineer & MLOps(m/w/x)
Full-timeOn-siteExperienced
Zürich
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COConsulteer
Senior Data Engineer – ML Data Platform(m/w/x)
Zürich
from USD 120,000 - 160,000 / year
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Building ML data platforms with Azure, optimizing infrastructure for AI training. 5+ years data engineering experience required. 401(k) matching, generous PTO.
Requirements
- 5+ years of professional experience in data engineering, machine learning infrastructure, or related fields
- Strong experience designing and building large-scale data pipelines and distributed data processing systems
- Solid experience working with cloud-based data platforms and storage systems (Azure or similar cloud platforms preferred)
- Experience working with datasets for machine learning systems, ideally including multimodal data
- Strong programming skills in Python and familiarity with modern data engineering tools and workflows
- Experience working with high-volume data ingestion, data processing pipelines, and dataset versioning
- Familiarity with robotics data pipelines or ROS2-based ecosystems (beneficial but not required)
- Strong problem-solving skills and collaboration with cross-functional technical teams
Tasks
- Design, build, and maintain scalable data pipelines
- Support the full data lifecycle
- Develop and optimize infrastructure for ML training
- Contribute to cloud-based data platform design
- Manage ingestion pipelines and labeling workflows
- Oversee dataset cataloging and versioning
- Ensure data compliance
- Implement tooling to improve data quality
- Enhance data reliability and observability
- Support creation of large-scale ML datasets
- Assist with data collection from robotics and sensors
- Integrate data from ROS2 or similar frameworks
- Contribute to data engineering best practices
- Develop documentation and testing standards
- Build reproducible data pipelines
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Azure
- ROS2
Benefits
Informal Culture
- Collaborative work environment
More Vacation Days
- Generous PTO
Retirement Plans
- 401(k) matching
Healthcare & Fitness
- Health insurance
- Dental insurance
- Vision insurance
Learning & Development
- Professional development opportunities
Other Benefits
- Relocation assistance
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Consulteer and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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COConsulteer
Senior Data Engineer – ML Data Platform(m/w/x)
Zürich
from USD 120,000 - 160,000 / year
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Building ML data platforms with Azure, optimizing infrastructure for AI training. 5+ years data engineering experience required. 401(k) matching, generous PTO.
Requirements
- 5+ years of professional experience in data engineering, machine learning infrastructure, or related fields
- Strong experience designing and building large-scale data pipelines and distributed data processing systems
- Solid experience working with cloud-based data platforms and storage systems (Azure or similar cloud platforms preferred)
- Experience working with datasets for machine learning systems, ideally including multimodal data
- Strong programming skills in Python and familiarity with modern data engineering tools and workflows
- Experience working with high-volume data ingestion, data processing pipelines, and dataset versioning
- Familiarity with robotics data pipelines or ROS2-based ecosystems (beneficial but not required)
- Strong problem-solving skills and collaboration with cross-functional technical teams
Tasks
- Design, build, and maintain scalable data pipelines
- Support the full data lifecycle
- Develop and optimize infrastructure for ML training
- Contribute to cloud-based data platform design
- Manage ingestion pipelines and labeling workflows
- Oversee dataset cataloging and versioning
- Ensure data compliance
- Implement tooling to improve data quality
- Enhance data reliability and observability
- Support creation of large-scale ML datasets
- Assist with data collection from robotics and sensors
- Integrate data from ROS2 or similar frameworks
- Contribute to data engineering best practices
- Develop documentation and testing standards
- Build reproducible data pipelines
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Azure
- ROS2
Benefits
Informal Culture
- Collaborative work environment
More Vacation Days
- Generous PTO
Retirement Plans
- 401(k) matching
Healthcare & Fitness
- Health insurance
- Dental insurance
- Vision insurance
Learning & Development
- Professional development opportunities
Other Benefits
- Relocation assistance
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Consulteer and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Consulteer
Industry
IT
Description
The company delivers performant, reusable assets and pipelines for advanced simulation and robotics systems.
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