{"jobAd":{"id":"19412","type":"job_ad","attributes":{"title":"AI Engineer","state":10,"state_name":"published","office_cities":["Munich","Lisbon","Cologne"],"location":"Multiple Locations","closed_at":null,"created_at":"2025-09-29T15:04:21.106Z","company_id":1642,"updated_at":"2025-09-29T15:47:30.399Z","last_published_at":"2025-09-29T15:47:30.371Z","office_country_codes":["DE","PT"],"relocation_paid":false,"visa_support":false,"citizenship":true,"remote_details":"3 days in office. 2 days remote","slug":"ai-engineer-in-multiple-locations","project_duration":null,"location_icon":"hybridRemote","office_locations":[{"city":"Munich","country_code":"DE","google_place_id":"ChIJ2V-Mo_l1nkcRfZixfUq4DAE","label":"Munich, Germany"},{"city":"Lisbon","country_code":"PT","google_place_id":"ChIJO_PkYRozGQ0R0DaQ5L3rAAQ","label":"Lisbon, Portugal"},{"city":"Cologne","country_code":"DE","google_place_id":"ChIJ5S-raZElv0cR8HcqSvxgJwQ","label":"Cologne, Germany"}],"timezone_label":null,"status_label":"Published","expires_days":null,"urls":null,"share_urls":null,"job_has_ats_offer":null,"company_has_ats":null,"country":"Germany","waiting_counter":null,"inbox_counter":null,"review_counter":null,"waiting_new_counter":null,"inbox_new_counter":null,"review_new_counter":null,"status_color_class":"ld-status-color u-fill--puertoRico ","valid":null,"job_type":"Permanent","contractor":false,"permanent":true,"allows_remote":false,"rate":null,"salary":null,"experience_label":"Intermediate","experience_min":3,"experience_max":5,"preferred_language_label":"English","nice_to_have_language_label":null,"category":"Data","remote_working_label":"Hybrid","is_global_remote":false,"role_description":"

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)

","nice_to_have":null,"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

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AI Engineer at KI performance

Large Language Models (LLMs)

NLP

Computer Vision

Job at KI performance in ["Munich", "Lisbon", "Cologne"]