Senior Data Scientist & AI Engineer - Remote (EU)

Global Enterprise Partners

Salzburg

Vor Ort

EUR 100.000 - 145.000

Vollzeit

vor 14 Stunden
Sei unter den ersten Bewerbenden
Bewerbungsgenerator

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Zusammenfassung

Global Enterprise Partners is seeking a Senior Data Scientist with AI Engineering exposure to translate and build business-focused AI cases. The role requires 5+ years in data science, ML, and cloud deployments, with hands-on work on Azure Databricks, Azure ML, and SAP platforms.

Flexibility for remote work with European travel is offered. Ideal candidates will identify high-value AI use cases with stakeholders, build predictive and GenAI-enabled solutions, and deploy production-grade systems on

Qualifikationen

  • 5+ years of professional experience in Data Science, ML, AI, or Advanced Analytics
  • Experience deploying ML models in cloud environments
  • Experience with Azure Databricks / Azure ML / SAP platforms
  • Knowledge of Generative AI, LLMs, RAG, AI agents
  • Understanding of MLOps, model lifecycle, monitoring & versioning

Aufgaben

  • Identify, evaluate, and prioritize AI/ML use cases with business stakeholders
  • Develop predictive, classification, recommendation, and optimization models that create measurable value
  • Build and deploy production-ready AI solutions on Azure and Databricks
  • Develop GenAI applications, AI agents, and intelligent document-processing solutions

Kenntnisse

Data Science
ML/AI
Analytical thinking
Business acumen

Tools

Azure Databricks
Azure AI Foundry
Azure Machine Learning
SAP Business Data Cloud
SAP Datasphere
MLOps tooling

Jobbeschreibung

Global Enterprise Partners is seeking a Senior Data Scientist with AI Engineering exposure to translate and build business-focused AI cases. The role requires 5+ years in data science, ML, and cloud deployments, with hands-on work on Azure Databricks, Azure ML, and SAP platforms.

Flexibility for remote work with European travel is offered. Ideal candidates will identify high-value AI use cases with stakeholders, build predictive and GenAI-enabled solutions, and deploy production-grade systems on

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