Data Scientist with Focus AI ENGINEER (80-100, all genders)

Job Description:

Aufgaben

I collaborate with data scientists to build optimize models, ensuring they perform efficiently and accurately. From generative AI and LLMs to production-grade ML pipelines, I’m at the heart of transforming cutting-edge research into production-ready solutions.

I lead the design, development, and deployment of AI models and ML pipelines
I optimize AI models for efficiency, accuracy, and scalability in production environments
I deliver reusable technical assets to accelerate the adoption of generative AI on Azure
I build and maintain production-ready ML pipelines for training and inference
I am familiar with MLOps and CI/CD principles
I collaborate cross-functionally with product, engineering, and business teams to align AI initiatives with strategic goals
I share best practices, code samples, tutorials, and internal knowledge sessions

Benefits

Gewinnbeteiligung / Bonus / LVV, Kostenloses Parken, Flugvergünstigungen, Kantine (bezuschusst vom Arbeitgeber), Jobticket / Zuschuss ÖPNV, Diensthandy / ipad, Rabatte / Einkaufsmöglichkeiten, Mitarbeiter Events (Sommerfeste, Teilnahme an Sportwettkämpfen etc), Teilzeitmodelle, Mobiles Arbeiten möglich, Flexible Arbeitszeiten, Entwicklungsprogramme / Weiterbildungsmöglichkeiten, Mentoring, Fitnessstudio / Sportangebote / Betriebsfußball etc., kostenlose Snacks / Getränke

Beflügelndes Umfeld

Voraussetzungen

At least 5 years of experience in AI/ML engineering or deep learning model development
Proven hands-on experience with Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, and LangChain
Hands-on experience in deploying scalable AI solutions with Azure services in production
Experience with containerization and orchestration tools (Docker, Kubernetes)
Experience in driving Data & AI use cases from business value concept to production
Deep understanding of LLMs, NLP, computer vision, and generative AI techniques
Skills in embeddings, prompt engineering, and RAG pipelines
Very good command of English language

Unternehmen

Über Lufthansa Group Digital Hangar GmbH

Creating the world’s best connected travel experience – physical, human, and digital – for all Lufthansa Group airline brands is our goal. We’re committed to driving the digital transformation and becoming leaders and innovators in developing next-level digital solutions for the airline industry. We operate with 100 focus on delivering tangible value-adding solutions and develop best-in-class features for over 145 million passengers that travel on our 5 airline brands every year.

www.digitalhangar.aero

Job Ident #: 121056

Company Details

Lufthansa

Wadowicka 3B
Krakow, Malopolskie Poland, International 30-347 International
www.lufthansa.com/us/en/homepage

Lufthansa Global Business Service

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Job Info

Location

Frankfurt, Hessen, Germany

Type

Permanent

Company Details

Lufthansa

Wadowicka 3B
Krakow, Malopolskie Poland, International 30-347 International
www.lufthansa.com/us/en/homepage

Lufthansa Global Business Service