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

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

Zusammenfassung

A leading AI solutions company in Germany seeks a Senior AI Engineer. In this role, you'll design and implement advanced AI solutions, optimizing the entire AI lifecycle, and collaborating with cross-functional teams. We're looking for someone with 3+ years of experience, strong Python skills, and familiarity with cloud platforms like Azure. Join us to help shape AI innovations and create real business impact through transformative projects.

Leistungen

Exciting AI projects

High-performance culture

Training and certifications

Qualifikationen

• 3+ years of experience in AI engineering or machine learning.
• Proficient in ML frameworks and cloud-based platforms.
• Experience deploying AI solutions using MLOps.

Aufgaben

• Design and implement scalable AI solutions.
• Work with data to create machine learning models.
• Ensure compliance with data privacy and security standards.

Kenntnisse

AI engineering

Data science

Machine learning

Python

Cloud technologies

Data engineering

MLOps

NLP

Communication skills

Ausbildung

Bachelor’s or master’s degree in computer science or related field

Tools

Azure ML

Databricks

Docker

Jobbeschreibung

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 Senior 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 – and work closely with data platform teams to ensure AI‑driven insights translate into tangible business value.

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, optimisation, and NLP.
• Generative AI – Build, integrate and optimise Large Language Models (LLM), 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, 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 customise AI tools and embed them into business processes for maximised 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 – Data preparation, feature engineering, model training, deployment, and continuous optimisation.
• 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 containerisation 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 – 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 a hands‑on mentality, team spirit, and AI‑driven excellence.
• Broad ecosystem – Our network and partners provide unparalleled opportunities.

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.