Gravis Robotics
Data & ML Ops Engineer(m/w/x)
Full-time/Part-timeOn-siteExperienced
Zürich
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SUSunrise GmbH
AI/ML Engineer & MLOps(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Developing robust training and inference pipelines for advanced analytical solutions, building standardized LLMOps workflows. Hands-on CI/CD and DevOps for machine learning workloads essential. Standard Hybrid Model.
Requirements
- Degree in Computer Science, Data Science, Engineering, Mathematics, or equivalent
- 3+ years in ML engineering, MLOps, software/data engineering or related roles
- Hands‑on CI/CD and DevOps for ML workloads
- Experience with ML frameworks and serving patterns
- Strong Python software engineering and cloud deployment patterns
- Familiarity with feature stores, experiment tracking, and orchestration tools
- Strong communication and stakeholder management skills
- Ownership mindset and reliability under pressure
- Ability to influence without formal authority
- Telecommunications experience is a plus
Tasks
- Design and build production-grade ML and GenAI solutions
- Develop robust training and inference pipelines
- Co-design solution architectures with Data Scientists
- Industrialize prototypes with automated tests and secure packaging
- Build standardized CI/CD and LLMOps workflows
- Manage model promotion and versioning across environments
- Maintain monitoring, drift detection, and retraining mechanisms
- Operate experimentation tracking and feature store patterns
- Run evaluation harnesses for model safety and performance
- Produce compliant model documentation and audit artifacts
- Implement Responsible AI guardrails and privacy controls
- Define SLOs and manage incident response runbooks
- Develop reusable libraries and reference implementations
- Coach engineering teams on MLOps best practices
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Terraform
- Pulumi
- scikit‑learn
- PyTorch
- TensorFlow
- MLflow
- Kubeflow
- Azure ML
- Vertex AI
- SageMaker
- Python
- Docker
- Airflow
- Dagster
- Prefect
Benefits
Informal Culture
- Dynamic and multinational environment
Flexible Working
- Standard Hybrid Model
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Sunrise GmbH 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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SUSunrise GmbH
AI/ML Engineer & MLOps(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Developing robust training and inference pipelines for advanced analytical solutions, building standardized LLMOps workflows. Hands-on CI/CD and DevOps for machine learning workloads essential. Standard Hybrid Model.
Requirements
- Degree in Computer Science, Data Science, Engineering, Mathematics, or equivalent
- 3+ years in ML engineering, MLOps, software/data engineering or related roles
- Hands‑on CI/CD and DevOps for ML workloads
- Experience with ML frameworks and serving patterns
- Strong Python software engineering and cloud deployment patterns
- Familiarity with feature stores, experiment tracking, and orchestration tools
- Strong communication and stakeholder management skills
- Ownership mindset and reliability under pressure
- Ability to influence without formal authority
- Telecommunications experience is a plus
Tasks
- Design and build production-grade ML and GenAI solutions
- Develop robust training and inference pipelines
- Co-design solution architectures with Data Scientists
- Industrialize prototypes with automated tests and secure packaging
- Build standardized CI/CD and LLMOps workflows
- Manage model promotion and versioning across environments
- Maintain monitoring, drift detection, and retraining mechanisms
- Operate experimentation tracking and feature store patterns
- Run evaluation harnesses for model safety and performance
- Produce compliant model documentation and audit artifacts
- Implement Responsible AI guardrails and privacy controls
- Define SLOs and manage incident response runbooks
- Develop reusable libraries and reference implementations
- Coach engineering teams on MLOps best practices
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Terraform
- Pulumi
- scikit‑learn
- PyTorch
- TensorFlow
- MLflow
- Kubeflow
- Azure ML
- Vertex AI
- SageMaker
- Python
- Docker
- Airflow
- Dagster
- Prefect
Benefits
Informal Culture
- Dynamic and multinational environment
Flexible Working
- Standard Hybrid Model
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Sunrise GmbH 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Sunrise GmbH
Industry
IT
Description
Das Unternehmen bietet eine moderne Ausbildung in der Plattformentwicklung und fördert Innovation in der IT-Branche.
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