AI Engineer

KI performance; München; Hybrid; EUR 65.000 - 80.000; Vollzeit

Zusammenfassung

A leading AI solutions company in Germany is seeking an AI Engineer to design and implement advanced AI solutions. The role involves end-to-end AI development, applying machine learning concepts, and ensuring compliance with data regulations. Candidates should have strong Python skills, experience with ML frameworks, and familiarity with cloud technologies like Azure ML. This position offers opportunities to work with state-of-the-art technologies and contribute to impactful AI projects, fostering a culture of innovation and team collaboration.

Leistungen

Regular training and certifications

Innovative company culture

State-of-the-art technologies

Qualifikationen

• 3+ years of experience in AI engineering, data science, or machine learning.
• Expertise in data preparation, model training, and deployment.
• Strong Python skills and familiarity with ML frameworks.

Aufgaben

• Build and optimize AI models covering the lifecycle from ingestion to deployment.
• Apply statistical concepts to solve business challenges.
• Implement scalable AI solutions using cloud-based MLOps best practices.

Kenntnisse

AI engineering

Machine Learning

Data Science

Python

MLOps

Data Engineering

Natural Language Processing

Cloud technologies

Tools

Azure ML

Databricks

Docker

Jobbeschreibung

At KI performance (Permanent), in Multiple Locations

Expires at : 2025-12-28

Remote policy : Partial remote

As a 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

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.

Main requirements

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)

Benefits & Perks

Why Join Us?

State-of-the-Art Technologies → Work with Azure, Databricks, and leading cloud technologies on innovative Data & AI projects

High Performance & Ambition → We are looking for driven professionals who want to make an impact

Steep Learning Curve & Development Opportunities → Benefit from regular training, certifications, and exciting projects

Innovative Company Culture → We foster a hands-on mentality, team spirit, and data-driven excellence