TL;DR

Senior Microsoft Azure AI Engineer (AI): Design and implement end-to-end AI solutions on Azure, developing machine learning models and integrating them into cloud applications with an accent on Generative AI, LLMs, and MLOps. Focus on building and deploying intelligent applications using Azure AI Foundry, orchestrating GenAI workflows, and ensuring scalable and robust production deployments.

Location: Flexible remote or hybrid working within Germany, with modern offices in Munich, Frankfurt, and Stuttgart. Fluent German and English required.

Company

%hirify_global% is an IT consulting company specializing in cloud-based enterprise customer projects leveraging modern Microsoft technologies across EMEA.

What you will do

Design and implement end-to-end AI solutions on Azure, including machine learning model development and integration.
Build and deploy intelligent applications using Azure AI Foundry for enterprise-scale GenAI use cases.
Develop Generative AI solutions for clients, utilizing Azure OpenAI Service and frameworks like LangChain for LLM-based applications.
Integrate Azure Cognitive Services and Azure AI services to accelerate solution development.
Take ownership of deploying and operationalizing ML models, setting up MLOps practices and CI/CD pipelines.
Collaborate with Data Engineers and Solution Architects to ensure data availability and seamless integration into client ecosystems.

Requirements

5+ years of hands-on experience in AI/ML engineering or data science, covering the full ML project lifecycle.
Fluent in German and English.
Strong experience with the Azure AI/Data ecosystem, including Azure Machine Learning, Databricks, and data services.
Proficiency in Python and common ML/DL libraries (pandas, scikit-learn, TensorFlow or PyTorch).
Practical understanding of MLOps, model lifecycle management, CI/CD for ML, Docker, and Kubernetes.
Exposure to Large Language Models (LLMs) and generative AI technologies, with experience in LangChain or vector databases for RAG.
Strong problem-solving skills and the ability to explain complex technical work to team members and clients.
Willingness to obtain Microsoft Certified: Azure AI Engineer Associate (AI-102) certification.

Culture & Benefits

Be part of a collaborative, remote-friendly team valuing continuous learning and delivering impact.
Benefit from a revolutionary New Way of Work culture and flexible remote or hybrid working options.
Access the %hirify_global% Academy for certified trainings and language courses.
Enjoy international development opportunities and employee referral bonuses.
Receive modern IT equipment and corporate benefits.
Participate in get-together parties, team events, and utilize the gaming lounge.
Access company pension scheme, direct insurance, and capital-forming benefits.