SAP Datasphere Migration Lead

Global Enterprise Partners; Parma; In loco; EUR 100.000 - 145.000; Tempo pieno

Descrizione del lavoro

Global Enterprise Partners seeks an experienced Senior Data Scientist with AI Engineering exposure to translate and build business cases. You will drive AI initiatives and scalable data solutions, enabling measurable business value across the client portfolio.

The role requires expertise in DS/ML, cloud deployment, GenAI, and MLOps, collaborating with stakeholders to deliver production-ready models on Azure Databricks and SAP/Azure platforms. Remote with European travel possible.

Competenze

• 3–5+ years in data science, ML, AI or advanced analytics.
• Experience deploying ML models in cloud environments.
• Knowledge of Generative AI, LLMs, RAG, AI agents.
• Understanding of MLOps, model lifecycle, monitoring and versioning.

Mansioni

• Identify AI/ML use cases with key business stakeholders.
• Develop predictive, classification, and optimization models with measurable value.
• Build and deploy production AI solutions on Azure and Databricks.
• Develop GenAI applications and AI agents for document processing.

Conoscenze

Data Science

ML Engineering

AI in Cloud

Generative AI

LLMs

MLOps

Business Acumen

Strumenti

Azure Databricks

Azure AI Foundry

Azure Machine Learning

SAP Business Data Cloud

SAP Datasphere

Descrizione del lavoro

For our client, a leading FMCG company, we are looking for an experienced Senior Data Scientist with AI Engineering exposure for translating and building cases.

Key Requirements:

• At least 3-5 years of professional experience in Data Science, Machine Learning, AI, or Advanced Analytics
• Experience developing and deploying ML models in cloud environments
• Experience with Azure Databricks, Azure AI Foundry, Azure Machine Learning, SAP Business Data Cloud, SAP Datasphere, or comparable technologies
• Knowledge of Generative AI, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and AI agents
• Understanding of MLOps concepts, model lifecycle management, monitoring, and versioning
• Strong analytical thinking combined with business acumen and value-oriented problem solving

Preferred:

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

Contract Details

• Start date: ASAP (flexible)
• Contract type: Freelance/temporary
• Length: 12+ Months
• Workload: Full-time
• Location: Remote with some travel withing Europe
• Timezone: CET