Junior AI Engineer (m/w/d)

Your Role as an AI Engineer As a Junior AI Engineer, you play a key role in designing and implementing state-of-the-art AI solutions. You are responsible for the entire AI lifecycle - from data ingestion and transformation to building, deploying, and optimizing machine learning models. You work closely with data platform teams and ensure that AI-driven insights translate into tangible business value. With a strong focus on innovation, scalability, and operational excellence, you stay up to date with the latest AI advancements (e.g., Multiagent-Architectures) and cloud technologies on Microsoft Azure. Your Responsibilities End-to-End AI Development - Build and optimize AI models, covering the entire lifecycle from data ingestion to deployment and operations.Machine Learning & Advanced Analytics - Apply statistical and ML concepts to solve business challenges, including predictive analytics, optimization, and NLP.Generative AI - Build, integrate and optimize Large Language Models (LLM), including Text-to-Speech (TTS), Speech-to-Text (STT).Data Engineering & Pipelines - Ensure data quality by handling ingestion, preparation, and transformation to create a solid foundation for AI use cases.AI Deployment & Operations - Implement scalable and production-ready AI solutions using cloud-based MLOps best practices.AI Innovation - Stay up-to-date with the latest advancements in AI and cloud technologies, and evaluate their potential for integration.Customer Enablement & Integration - Collaborate with cross-functional teams to customize AI tools and embed them into business processes for maximized value.Compliance & Governance - Ensure compliance with data privacy, security, and ethical AI guidelines in all solutions. What You Bring to the Table 1+ years of experience - AI engineering, data science, or machine learning, ideally with data engineering expertise.End-to-end AI expertise - Expertise in data preparation, feature engineering, model training, deployment, and continuous optimization.Strong Python skills - Proficient in ML frameworks and cloud-based AI platforms like Azure ML and Databricks.Cloud & AI ecosystem knowledge - Familiar with Microsoft Azure Data & AI services and leading AI platforms/APIs such as OpenAI, Gemini, and Anthropic.MLOps & production deployment - Hands-on experience with MLOps tooling (Azure DevOps, GitHub, GitLab) and deploying AI solutions in production.AI infrastructure expertise - Skilled in designing and deploying AI infrastructure, including containerization with Docker.Broad AI/ML understanding - Strong foundation in NLP, computer vision, and conversational AI (e.g., Azure Bot Services, Microsoft Copilot).Experience with AI models - Familiar with LLMs, TTS, and STT technologies.Awareness of AI regulations - Understanding of data privacy regulations (e.g., GDPR) and their implications for AI projects.Customer interaction & leadership - Comfortable engaging with stakeholders and leading workshops.Innovative & team-oriented mindset - Passion for AI, proactive attitude, and collaborative work style.Excellent communication skills - Fluent in English (C2) and German (C1). Education Bachelor’s or master’s degree in computer science, artificial intelligence, or a related field. Why Join Us? Exciting AI projects - with cutting-edge technologies - work with Azure, Databricks, OpenAI, and more.High-performance culture - we’re looking for “Doers” who want to make an impact.Fast learning & career growth - benefit from top-tier training and certifications.Innovative company culture - we embrace hands-on mentality, team spirit, and AI-driven excellence.Broad ecosystem - as part of our DNA, we cultivate an exceptional network and work closely with partners and startups.