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SUsunday natural

(Senior) AI/ML Engineer (m/w/x) Berlin

Vollzeitmit HomeofficeSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung

Pioneering GenAI enablement and building end-to-end ML pipelines in Vertex AI for a natural health products manufacturer. 5 years of Data Engineering or ML Ops experience required. Product discount, 28 days PTO, and Urban Sports Club membership.

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Anforderungen

  • 5 years Data Engineering or ML Ops experience
  • 3 years production ML pipeline experience
  • Degree in Computer Science, Data Science, Engineering, or related
  • PhD a plus
  • Expert Python and ML/DL libraries proficiency
  • Strong BigQuery, db, and SQL skills
  • Hands-on Vertex AI experience
  • AWS/GCP equivalents experience
  • Prefect orchestration experience
  • CI/CD pipelines in Bitbucket experience
  • ML Ops frameworks familiarity
  • Docker and Kubernetes containerisation familiarity
  • Vector databases experience
  • Proven ML or GenAI production use cases delivery
  • Strong stakeholder communication skills
  • Ability to translate AI/ML to business outcomes
  • Systems thinking
  • Ethical grounding in responsible AI
  • Balance innovation with reliability and cost control
  • Encouragement for women and under-represented backgrounds to apply

Aufgaben

  • Design, build, and maintain end-to-end ML pipelines in Vertex AI
  • Pioneer GenAI enablement, including retrieval augmented generation, embeddings, and AI-driven applications
  • Embed governance, reproducibility, and scalability into ML and GenAI infrastructure
  • Design, build, and maintain modular, reusable ML pipelines in Vertex AI Pipelines
  • Develop GenAI capabilities including embeddings, retrieval pipelines, vector databases, and RAG frameworks
  • Build and manage feature stores and reusable datasets
  • Productionise workflows with Prefect orchestration and CI/CD pipelines
  • Implement continuous evaluation, drift detection, and performance monitoring for deployed models
  • Implement rollback strategies and retraining triggers for deployed models
  • Embed GDPR compliance, RBAC, anonymisation, explainability, fairness, and auditability into models and pipelines
  • Document lineage of features, models, and inference workflows
  • Partner with the Data Governance Lead on ethical AI frameworks
  • Translate technical capabilities into business-friendly outcomes
  • Communicate trade-offs across accuracy, latency, and cost to non-technical stakeholders
  • Mentor Data Engineers in ML Ops and GenAI techniques
  • Contribute to internal AI/ML guilds and best practices

Berufserfahrung

5 Jahre

Ausbildung

Bachelor-Abschluss

Sprachen

Englisch – verhandlungssicher

Tools & Technologien

Pythonscikit-learnTensorFlowPyTorchHugging FaceLangChainBigQuerySQLVertex AIAWSGCPPrefectBitbucketMLflowTFXDockerKubernetesPineconeFAISSMilvus

Benefits

Mitarbeiterrabatte
  • Product discount
  • Discounts on brands (Flaconi, Bosch, Apple, Expedia)
Mehr Urlaubstage
  • 28 days paid time off
  • 5 days off between Christmas and New Year
Gesundheits- & Fitnessangebote
  • Urban Sports Club membership
Firmenfahrrad
  • Swapfiets bike rental
Öffi Tickets
  • Deutschlandticket subsidy
Startup-Atmosphäre
  • Ownership and room for initiatives
  • Opportunity to implement ideas
Snacks & Getränke
  • Organic teas and superfoods
  • Tea and office parties
Team Events & Ausflüge
  • Christmas and summer feasts
  • Influencer events

Von Nejo automatisch aufbereitet

Nejo hat diesen Job automatisch von der Website des Unternehmens sunday natural 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.

Zur Originalanzeige bei sunday natural

Über das Unternehmen

SU
FoodBerlin

Sunday Natural is a renowned quality manufacturer focused on producing natural, pure products with no additives. They have their own R&D department and collaborate with research institutes and professionals.

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