Junior AI Engineer (m / w / d)

KI group GmbH; München; Vor Ort; EUR 45.000 - 75.000; Vollzeit

Zusammenfassung

Ein innovatives Unternehmen sucht einen Junior AI Engineer, der leidenschaftlich an KI und modernen Technologien interessiert ist. In dieser spannenden Rolle sind Sie verantwortlich für die Entwicklung und Implementierung fortschrittlicher KI-Lösungen, die von der Datenaufnahme bis zur Bereitstellung reichen. Sie arbeiten eng mit Teams zusammen, um sicherzustellen, dass KI-gestützte Erkenntnisse echten Geschäftswert schaffen. Mit einem starken Fokus auf Innovation und Skalierbarkeit haben Sie die Möglichkeit, an aufregenden Projekten zu arbeiten, die die Zukunft der KI gestalten. Wenn Sie eine proaktive Einstellung und eine Leidenschaft für Technologie haben, ist dies die perfekte Gelegenheit für Sie.

Leistungen

Top-tier training and certifications

Innovative company culture

Exciting AI projects

Fast learning & career growth

Qualifikationen

• 1+ Jahre Erfahrung in KI-Engineering oder Datenwissenschaft.
• Starke Python-Kenntnisse und Erfahrung mit ML-Frameworks.

Aufgaben

• End-to-End Entwicklung von KI-Modellen und Optimierung des gesamten Lebenszyklus.
• Zusammenarbeit mit cross-funktionalen Teams zur Integration von KI-Tools.

Kenntnisse

Python

Machine Learning

Data Engineering

Cloud Technologies

Natural Language Processing (NLP)

MLOps

Data Privacy Regulations

Customer Interaction

Ausbildung

Bachelor's degree in Computer Science

Master's degree in Artificial Intelligence

Tools

Azure ML

Databricks

GitHub

GitLab

Docker

Jobbeschreibung

Are you passionate about AI and cutting-edge technologies? Do you want to help companies leverage AI to create real business impact? Are you ambitious, solution-oriented, and eager to work at the intersection of data engineering, machine learning, and cloud technology? Then join our team at KI performance!

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

1. End-to-End AI Development – Build and optimize AI models, covering the entire lifecycle from data ingestion to deployment and operations.
2. Machine Learning & Advanced Analytics – Apply statistical and ML concepts to solve business challenges, including predictive analytics, optimization, and NLP.
3. Generative AI - Build, integrate and optimize Large Language Models (LLM), including Text-to-Speech (TTS), Speech-to-Text (STT).
4. Data Engineering & Pipelines – Ensure data quality by handling ingestion, preparation, and transformation to create a solid foundation for AI use cases.
5. AI Deployment & Operations – Implement scalable and production-ready AI solutions using cloud-based MLOps best practices.
6. AI Innovation – Stay up-to-date with the latest advancements in AI and cloud technologies, and evaluate their potential for integration.
7. Customer Enablement & Integration – Collaborate with cross-functional teams to customize AI tools and embed them into business processes for maximized value.
8. Compliance & Governance - Ensure compliance with data privacy, security, and ethical AI guidelines in all solutions.

What You Bring to the Table

1. 1+ years of experience - AI engineering, data science, or machine learning, ideally with data engineering expertise.
2. End-to-end AI expertise – Expertise in data preparation, feature engineering, model training, deployment, and continuous optimization.
3. Strong Python skills – Proficient in ML frameworks and cloud-based AI platforms like Azure ML and Databricks.
4. Cloud & AI ecosystem knowledge – Familiar with Microsoft Azure Data & AI services and leading AI platforms/APIs such as OpenAI, Gemini, and Anthropic.
5. MLOps & production deployment – Hands-on experience with MLOps tooling (Azure DevOps, GitHub, GitLab) and deploying AI solutions in production.
6. AI infrastructure expertise – Skilled in designing and deploying AI infrastructure, including containerization with Docker.
7. Broad AI/ML understanding – Strong foundation in NLP, computer vision, and conversational AI (e.g., Azure Bot Services, Microsoft Copilot).
8. Experience with AI models – Familiar with LLMs, TTS, and STT technologies.
9. Awareness of AI regulations – Understanding of data privacy regulations (e.g., GDPR) and their implications for AI projects.
10. Customer interaction & leadership – Comfortable engaging with stakeholders and leading workshops.
11. Innovative & team-oriented mindset – Passion for AI, proactive attitude, and collaborative work style.
12. 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?

1. Exciting AI projects - with cutting-edge technologies – work with Azure, Databricks, OpenAI, and more.
2. High-performance culture – we’re looking for “Doers” who want to make an impact.
3. Fast learning & career growth – benefit from top-tier training and certifications.
4. Innovative company culture – we embrace hands-on mentality, team spirit, and AI-driven excellence.
5. Broad ecosystem – as part of our DNA, we cultivate an exceptional network and work closely with partners and startups.

About KI performance

We are transforming the way companies work with data, preparing them for the future of AI. With our expertise in developing data platforms and AI-powered solutions, we create measurable value - always with a clear focus on business and strategy. Our projects range from global data platforms to innovative Gen AI applications, making a direct impact on the success of leading DAX companies. By leveraging cutting-edge technologies, we set new standards in digital transformation and work closely with Microsoft, Databricks, and our KI group ecosystem to develop sustainable and future-proof solutions.

Our company culture is shaped by forward-thinking, curious, and open-minded individuals who actively drive digital change. To maintain this dynamic environment, we place great importance on diversity, innovation, and strong team collaboration.