Die KI-Suchmaschine für Jobs
Senior Machine Learning Platform Engineer(m/w/x)
Beschreibung
Building ETL pipelines and NLP model endpoints for ESG risk data at a provider with 15+ years of history. Expertise in cloud-based distributed systems and CI/CD automation required. 4-week annual workation option, paid training days.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Background in data and platform engineering or either field
- •Experience in cloud-based solution architectures and distributed systems
- •Experience setting up and maintaining data and ML pipelines
- •Experience implementing CI/CD pipelines using best practices
- •Experience with Data Warehousing technologies
- •Experience with LLM management and agentic AI deployment
- •System software and management experience in Linux environments
- •Experience with PostgreSQL or NoSQL database architectures
- •Strong Python skills; knowledge of Java or Bash
- •Knowledge of Git, Docker, Kubernetes, Kafka, and ML tools
- •Experience in debugging, troubleshooting, and software testing
- •Analytical thinking, organizational skills, and efficiency
- •Strong communication skills and proficiency in English
- •Possession of a valid work permit
Ausbildung
Berufserfahrung
ca. 4 - 6 Jahre
Aufgaben
- •Develop feature and ETL pipelines
- •Automate data creation processes
- •Manage underlying infrastructure and applications
- •Design and test production-scale ML models
- •Deploy and maintain NLP model endpoints
- •Implement CI/CD pipelines for ML applications
- •Monitor cloud infrastructure for performance and cost
- •Manage the lifecycle and deployment of LLM models
- •Control model access for production and testing
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
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 and social events
Lockere Unternehmenskultur
- •Welcoming office environment
Snacks & Getränke
- •Complimentary coffee and refreshments
- •Fresh fruit and healthy snacks
- AUTO1 GroupVollzeitmit HomeofficeSeniorBerlin
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Vollzeitmit HomeofficeSeniorHamburg, Berlin
Senior Machine Learning Platform Engineer(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
Building ETL pipelines and NLP model endpoints for ESG risk data at a provider with 15+ years of history. Expertise in cloud-based distributed systems and CI/CD automation required. 4-week annual workation option, paid training days.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Background in data and platform engineering or either field
- •Experience in cloud-based solution architectures and distributed systems
- •Experience setting up and maintaining data and ML pipelines
- •Experience implementing CI/CD pipelines using best practices
- •Experience with Data Warehousing technologies
- •Experience with LLM management and agentic AI deployment
- •System software and management experience in Linux environments
- •Experience with PostgreSQL or NoSQL database architectures
- •Strong Python skills; knowledge of Java or Bash
- •Knowledge of Git, Docker, Kubernetes, Kafka, and ML tools
- •Experience in debugging, troubleshooting, and software testing
- •Analytical thinking, organizational skills, and efficiency
- •Strong communication skills and proficiency in English
- •Possession of a valid work permit
Ausbildung
Berufserfahrung
ca. 4 - 6 Jahre
Aufgaben
- •Develop feature and ETL pipelines
- •Automate data creation processes
- •Manage underlying infrastructure and applications
- •Design and test production-scale ML models
- •Deploy and maintain NLP model endpoints
- •Implement CI/CD pipelines for ML applications
- •Monitor cloud infrastructure for performance and cost
- •Manage the lifecycle and deployment of LLM models
- •Control model access for production and testing
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
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 and social events
Lockere Unternehmenskultur
- •Welcoming office environment
Snacks & Getränke
- •Complimentary coffee and refreshments
- •Fresh fruit and healthy snacks
Über das Unternehmen
RepRisk AG
Branche
FinancialServices
Beschreibung
RepRisk is the world’s most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct.
- AUTO1 Group
Senior Machine Learning Platform/Ops Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - AUTO1 Group
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Vollzeitmit HomeofficeBerufserfahrenBerlin - Simon-Kucher
Senior AI Platform Engineer (Multi-tenant SaaS & MLOps)(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - AUTO1 Group
(Senior) Machine Learning Platform/Ops Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - FREENOW
Senior Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorHamburg, Berlin