AI Engineer / Data Scientist (Azure AI & Microsoft Fabric)

emagine; Polska; Remote; PLN 395,000 - 571,000; Full time

Benefits offered by this job

Flexible working arrangements

Long-term international project

Job summary

emagine is seeking a skilled AI Engineer to design and deploy AI-powered matching and recommendation engines for a large-scale transformation project. The role allows remote work from Poland while servicing a client in Berlin, Germany, and involves building data pipelines and semantic search on Azure.

The ideal candidate has deep experience with Python, Azure, Azure AI Foundry, and Azure AI Search, plus a track record of production deployments and CI/CD governance.

Qualifications

• Proven experience as AI Engineer or Data Scientist.
• Hands-on Python and Azure cloud services.
• Experience deploying AI solutions in production.
• Knowledge of semantic search and ML-based matching techniques.

Responsibilities

• Design, develop, and improve AI-powered matching and recommendation engines.
• Build and maintain scalable data pipelines using Microsoft Fabric.
• Implement semantic search and indexing with Azure AI Search.
• Develop matching, scoring, ranking, reranking, and recommendation algorithms.
• Create intelligent services for job, training, career path, and profile quality recommendations.
• Deploy and manage AI solutions across Microsoft ecosystem (Azure, Fabric, App Service, Docker).
• Maintain CI/CD pipelines with security, governance, monitoring, and compliance.

Skills

AI Engineer

Data Scientist

Python

Azure

Azure AI Foundry

Azure AI Search

Microsoft Fabric

Docker

CI/CD

Security & Governance

Tools

Microsoft Azure

Azure AI Foundry

Azure AI Search

Microsoft Fabric

Azure App Service

Docker

Job description

Location: Client location: Berlin, Germany. The role can be performed remotely from Poland.

Contract Duration: ASAP – December 2027

Are you passionate about Artificial Intelligence, data platforms, and building innovative solutions that create real-world impact? Join a large-scale digital transformation initiative focused on developing an intelligent matching and recommendation platform within the public employment and workforce development domain.

Your Responsibilities

• Design, develop, and continuously improve AI-powered matching and recommendation engines.
• Build and maintain scalable data pipelines using Microsoft Fabric.
• Implement semantic search and advanced indexing capabilities with Azure AI Search.
• Develop matching, scoring, ranking, reranking, and recommendation algorithms.
• Create intelligent services supporting:
  • Job recommendations
  • Training recommendations
  • Career path suggestions
  • Candidate profile quality and completeness assessments
• Deploy and manage AI solutions across the Microsoft ecosystem, including:
  • Microsoft Azure
  • Azure AI Foundry
  • Microsoft Fabric
  • Azure App Service
  • Docker-based environments
• Build and maintain CI/CD pipelines while ensuring security, governance, monitoring, and compliance standards.
• Expose AI capabilities through APIs and integrations with business applications.
• Evaluate model performance and recommendation quality through testing and validation activities.
• Collaborate with both technical and business stakeholders to drive solution success.
• Produce technical documentation and support knowledge transfer activities.
• Contribute to the long-term evolution of the platform and modernization of existing systems.

Required Skills & Experience

• Proven experience as an AI Engineer, Data Scientist, or in a similar role.
• Strong hands-on expertise with:
  • Python
  • Microsoft Azure
  • Azure AI Foundry
  • Azure AI Search
  • Microsoft Fabric
  • Azure App Service
  • Docker
• Experience designing and implementing AI-driven search, recommendation, or matching solutions.
• Knowledge of semantic search, indexing strategies, ranking methodologies, and machine learning-based matching techniques.
• Experience deploying and operating AI solutions in production environments.
• Understanding of CI/CD practices, cloud governance, monitoring, and security frameworks.
• Excellent problem-solving and communication skills.

Language Requirements

• Fluent French (mandatory)
• English is considered an asset

Nice to Have

• Experience with recommendation engines, talent matching platforms, or HR technology solutions.
• Experience working with enterprise-scale AI and data platforms in Azure environments.
• Knowledge of modern MLOps practices and AI operationalization.

What We Offer

• Long-term international project through the end of 2027.
• Opportunity to work with cutting-edge Microsoft AI technologies.
• Exposure to large-scale cloud and data transformation initiatives.
• Collaborative and innovative environment focused on AI-driven solutions.
• Flexible working arrangements.