Junior AI Engineer (m/w/d)

Join to apply for the Junior AI Engineer (m/w/d) role at KI performance GmbH

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 a Junior AI Engineer

As a Junior AI Engineer, you will play a key role in designing and implementing state-of-the-art AI solutions. You will be responsible for the entire AI lifecycle—from data ingestion and transformation to building, deploying, and optimizing machine learning models. You will work closely with data platform teams to ensure AI-driven insights translate into tangible business value.

With a focus on innovation, scalability, and operational excellence, you will 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 (LLMs), including Text-to-Speech (TTS) and 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 in AI engineering, data science, or machine learning, ideally with data engineering expertise.
• End-to-end AI expertise – proficiency in data preparation, feature engineering, model training, deployment, and optimization.
• Strong Python skills – experience with ML frameworks and cloud-based AI platforms like Azure ML and Databricks.
• Knowledge of Microsoft Azure Data & AI services and leading AI platforms/APIs such as OpenAI, Gemini, and Anthropic.
• Hands-on experience with MLOps tooling (Azure DevOps, GitHub, GitLab) and deploying AI solutions in production.
• Skills in designing and deploying AI infrastructure, including containerization with Docker.
• Broad understanding of AI/ML topics such as NLP, computer vision, and conversational AI (e.g., Azure Bot Services, Microsoft Copilot).
• Familiarity with LLMs, TTS, and STT technologies.
• Understanding of AI regulations, including GDPR, and their implications.
• Ability to engage with stakeholders and lead workshops.
• Innovative, team-oriented mindset with a proactive attitude.
• 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?

• Work on exciting AI projects with technologies like Azure, Databricks, and OpenAI.
• Be part of a high-performance culture aiming to make an impact.
• Benefit from fast learning and career growth through top-tier training and certifications.
• Join an innovative company culture that values hands-on work, team spirit, and AI excellence.
• Engage with a broad ecosystem, collaborating with partners and startups.

About KI Performance

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

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

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