Stellenbeschreibung:

Overview

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.

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.
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NOTE / HINWEIS:

EN: Please refer to Fuchsjobs for the source of your application

DE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung