(Senior) AI Engineer (m/w/d)

KI performance GmbH; München; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Exciting AI projects

High-performance culture

Fast learning and career growth

Innovative company culture

Broad ecosystem

Zusammenfassung

A cutting-edge AI company based in Munich is seeking a Senior AI Engineer (m/f/d) to drive AI projects leveraging data engineering, machine learning, and cloud technology. The ideal candidate will have over 3 years of experience and strong skills in Python and MLOps. Responsibilities include developing AI models, applying advanced analytics to solve business challenges, and collaborating with cross-functional teams. This role offers an exciting work environment focused on innovation and professional growth.

Qualifikationen

• 3+ years of experience in AI engineering, data science, or machine learning.
• End-to-end AI expertise in data preparation and model deployment.
• Strong Python skills and familiarity with Azure services.

Aufgaben

• Build and optimize AI models, covering the entire lifecycle.
• Apply statistical concepts to solve business challenges.
• Implement scalable AI solutions using cloud-based MLOps.

Kenntnisse

AI engineering

Data science

Machine learning

Python

MLOps

NLP

Data privacy regulations

Customer interaction

Ausbildung

Bachelor’s or master’s degree in computer science

Tools

Azure ML

Databricks

Docker

Jobbeschreibung

🚀 Become our new (Senior) 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 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

• 3+ 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.

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. If you’d like to learn more about our culture and benefits, feel free to visit our careers page.