Zühlke Engineering AG
Lead Data Architect(m/w/x)
Vollzeitmit HomeofficeSenior
Schlieren
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RERepRisk AG
Senior Machine Learning Platform Engineer(m/w/x)
Zürich
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Building and automating data pipelines for ESG risk analysis at a data-as-a-service provider with 200+ employees. Extensive experience with cloud-based distributed systems and ML infrastructure required. 4-week annual work abroad option, paid training days.
Anforderungen
- Strong data or platform engineering skills
- Preference for agile and growing firms
- Background in data and platform engineering
- Experience with cloud-based distributed systems
- Experience with data and ML pipelines
- Experience implementing CI/CD pipelines
- Experience with Data Warehousing technologies
- Experience with LLM and agentic AI
- Experience with Linux system software
- Experience with PostgreSQL or NoSQL
- Strong Python skills
- Knowledge of Git, Docker, and Kubernetes
- Experience in debugging and software testing
- Analytical thinking and organizational skills
- Strong communication skills and English proficiency
- Valid work permit
Aufgaben
- Build and expand the full ML and data pipeline
- Maintain the machine learning and data infrastructure
- Support feature and ETL pipeline development
- Automate data creation processes
- Manage underlying infrastructure and applications
- Design and test production-scale ML models
- Deploy and monitor NLP model endpoints
- Maintain production-scale machine learning models
- Implement CI/CD pipelines for ML applications
- Design and monitor cloud infrastructure
- Optimize systems for efficiency, performance, and cost
- Manage the LLM model lifecycle
- Control access and deployment of LLM models
- Support ad-hoc LLM testing for developers
Berufserfahrung
ca. 4 - 6 Jahre
Ausbildung
Bachelor-AbschlussODERMaster-Abschluss
Sprachen
Englisch – verhandlungssicher
Tools & Technologien
AWSLinuxPostgreSQLNoSQLPythonJavaBashGitDockerKubernetesKafkaAmazon SagemakerDatabricksAirflowML FlowElastic SearchKibanaGrafanaTerraform
Benefits
Flexibles Arbeiten
- •Flexible working hours
- •Hybrid work model
- •Home office days
Workation & Sabbatical
- •4-week annual work abroad
Weiterbildungsangebote
- •Paid training days
Sinnstiftende Arbeit
- •Paid volunteering days
Gemeinnützige Ausrichtung
- •Charity donation matching
Gesundheits- & Fitnessangebote
- •Health and fitness subsidy
Team Events & Ausflüge
- •Frequent team events
- •Frequent social events
Lockere Unternehmenskultur
- •Welcoming office environment
Snacks & Getränke
- •Complimentary coffee and refreshments
- •Fresh fruit and snacks
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens RepRisk AG erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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Vollzeitmit HomeofficeBerufserfahrenZürich, Bern
RERepRisk AG
Senior Machine Learning Platform Engineer(m/w/x)
Zürich
Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
Building and automating data pipelines for ESG risk analysis at a data-as-a-service provider with 200+ employees. Extensive experience with cloud-based distributed systems and ML infrastructure required. 4-week annual work abroad option, paid training days.
Anforderungen
- Strong data or platform engineering skills
- Preference for agile and growing firms
- Background in data and platform engineering
- Experience with cloud-based distributed systems
- Experience with data and ML pipelines
- Experience implementing CI/CD pipelines
- Experience with Data Warehousing technologies
- Experience with LLM and agentic AI
- Experience with Linux system software
- Experience with PostgreSQL or NoSQL
- Strong Python skills
- Knowledge of Git, Docker, and Kubernetes
- Experience in debugging and software testing
- Analytical thinking and organizational skills
- Strong communication skills and English proficiency
- Valid work permit
Aufgaben
- Build and expand the full ML and data pipeline
- Maintain the machine learning and data infrastructure
- Support feature and ETL pipeline development
- Automate data creation processes
- Manage underlying infrastructure and applications
- Design and test production-scale ML models
- Deploy and monitor NLP model endpoints
- Maintain production-scale machine learning models
- Implement CI/CD pipelines for ML applications
- Design and monitor cloud infrastructure
- Optimize systems for efficiency, performance, and cost
- Manage the LLM model lifecycle
- Control access and deployment of LLM models
- Support ad-hoc LLM testing for developers
Berufserfahrung
ca. 4 - 6 Jahre
Ausbildung
Bachelor-AbschlussODERMaster-Abschluss
Sprachen
Englisch – verhandlungssicher
Tools & Technologien
AWSLinuxPostgreSQLNoSQLPythonJavaBashGitDockerKubernetesKafkaAmazon SagemakerDatabricksAirflowML FlowElastic SearchKibanaGrafanaTerraform
Benefits
Flexibles Arbeiten
- •Flexible working hours
- •Hybrid work model
- •Home office days
Workation & Sabbatical
- •4-week annual work abroad
Weiterbildungsangebote
- •Paid training days
Sinnstiftende Arbeit
- •Paid volunteering days
Gemeinnützige Ausrichtung
- •Charity donation matching
Gesundheits- & Fitnessangebote
- •Health and fitness subsidy
Team Events & Ausflüge
- •Frequent team events
- •Frequent social events
Lockere Unternehmenskultur
- •Welcoming office environment
Snacks & Getränke
- •Complimentary coffee and refreshments
- •Fresh fruit and snacks
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens RepRisk AG erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
RepRisk AG
Branche
Other
Beschreibung
RepRisk is the world’s most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct.
Noch nicht perfekt?
- Zühlke Engineering AG
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Vollzeitmit HomeofficeSeniorZürich - Anthropic
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Vollzeitmit HomeofficeBerufserfahrenZürich, Bern