Junior AI Engineer (m/w/d)

KI performance; München; Vor Ort; EUR 45.000 - 65.000; Vollzeit

Zusammenfassung

Join a leading company as a Junior AI Engineer and play a key role in designing state-of-the-art AI solutions. You will work on the entire AI lifecycle, from data ingestion to deploying machine learning models, while collaborating with cross-functional teams to drive business impact. With a focus on innovation and operational excellence, this role offers exciting projects in a dynamic environment.

Leistungen

High-performance culture for impactful work

Fast learning and career growth with training

Innovative company culture emphasizing team spirit

Qualifikationen

• 1+ years of experience in AI engineering or machine learning.
• Strong Python skills with ML frameworks and cloud platforms.
• Knowledge of AI regulations like GDPR.

Aufgaben

• Build and optimize AI models covering the entire lifecycle.
• Collaborate with cross-functional teams for AI integration.
• Ensure compliance with data privacy and ethical AI guidelines.

Kenntnisse

Python

Machine Learning

Data Engineering

NLP

AI Innovation

Ausbildung

Bachelor’s or master’s degree in computer science, artificial intelligence, or a related field

Tools

Azure ML

Databricks

Docker

Azure DevOps

Jobbeschreibung

Become our new Junior AI Engineer (m/f/d)

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 to 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 (LLMs), including Text-to-Speech (TTS) and 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 AI and cloud technologies, evaluating their potential for integration.
7. Customer Enablement & Integration – Collaborate with cross-functional teams to customize AI tools and embed them into business processes for maximum value.
8. Compliance & Governance – Ensure solutions comply with data privacy, security, and ethical AI guidelines.

What You Bring to the Table

1. 1+ years of experience in AI engineering, data science, or machine learning, ideally with data engineering expertise.
2. End-to-end AI expertise, including data preparation, feature engineering, model training, deployment, and optimization.
3. Strong Python skills with proficiency in ML frameworks and cloud platforms like Azure ML and Databricks.
4. Knowledge of Microsoft Azure Data & AI services and leading AI platforms/APIs such as OpenAI, Gemini, and Anthropic.
5. Experience with MLOps tools (Azure DevOps, GitHub, GitLab) and deploying AI solutions in production.
6. Skills in designing and deploying AI infrastructure, including containerization with Docker.
7. Broad understanding of AI/ML, including NLP, computer vision, and conversational AI (e.g., Azure Bot Services, Microsoft Copilot).
8. Familiarity with LLMs, TTS, and STT technologies.
9. Awareness of AI regulations like GDPR and their implications.
10. Ability to engage with stakeholders and lead workshops.
11. Innovative, team-oriented mindset with a passion for AI and a proactive attitude.
12. Excellent communication skills 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 like Azure, Databricks, OpenAI, and more.
• High-performance culture for impactful work.
• Fast learning and career growth with top-tier training and certifications.
• Innovative company culture emphasizing hands-on work, team spirit, and AI excellence.
• Broad ecosystem and collaboration with partners and startups.

About KI Performance

We transform how companies work with data, preparing them for the future of AI. Our expertise in data platforms and AI solutions creates measurable value, from global data platforms to Gen AI applications, impacting leading DAX companies. We leverage cutting-edge technologies and collaborate closely with Microsoft, Databricks, and our ecosystem to develop sustainable, future-proof solutions.

Our culture is driven by forward-thinking, curious, and open-minded individuals who actively drive digital change. We value diversity, innovation, and strong team collaboration. Visit our careers page to learn more about our culture and benefits.