Exxeta
Applied AI Scientist(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Berlin, Karlsruhe, Mannheim
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Dein persönlicher KI-Karriere-Agent
EUEuropean Molecular Biology Laboratory
.AI Engineer(m/w/x)
Vollzeit, Teilzeitmit HomeofficeBerufserfahren
AI/ML
Nejo KI-Zusammenfassung
Designing, developing, and deploying ML/DL models and pipelines for genomics and drug discovery. Strong systems engineering background and experience with LLMs required. Flexible working hours and workspace.
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Anforderungen
- Advanced university degree in computer science, machine learning, mathematics, computational biology, or related discipline
- Ability to design, own, and evolve complete AI-enabled systems
- Strong systems engineering background
- Experience with modern AI infrastructure
- Experience with large language models, agentic systems, AI-assisted software development
- Ability to decompose scientific needs into technical components
- Motivation to build systems for scientific environments
- Service orientation and cross-project work
- Strong communication skills with technical and non-technical stakeholders
- Fluency in spoken and written English
- Experience applying AI to biological or biomedical data
- Familiarity with MLOps practices and tools
- Experience with large language models, multimodal models, or foundation models
- Experience with laboratory automation or AI-driven experimental design
- Knowledge of data management and FAIR data principles
- Experience contributing to open-source software projects
- Prior work in academic, research institute, or international organisation setting
- Proficiency in other languages
Aufgaben
- Provide shared AI engineering capacity to research groups
- Act as a bridge between AI methods and applications
- Design, develop, and deploy ML/DL models and pipelines
- Ensure tools are robust, reproducible, and accessible
- Contribute to shared AI platforms, APIs, and software libraries
- Apply LLMs, computer vision, and multimodal methods to research
- Publish code, models, and benchmarks for open science
- Support knowledge transfer through clear documentation
Berufserfahrung
ca. 1 - 4 Jahre
Ausbildung
Master-Abschluss
Sprachen
Englisch – fließend
Tools & Technologien
DockerKubernetesCI/CD pipelinesGPU environmentsMLflowWeights & BiasesKubeflow
Benefits
Flexibles Arbeiten
- Flexible working hours
- Flexible work space
Familienfreundlichkeit
- Possibility of part-time work
- Family related benefits
- 10 days child sick leave
Attraktive Vergütung
- Competitive salary
- Annual salary review
Boni & Prämien
- Financial incentives
Sonstige Zulagen
- Salary free of income tax
- Monthly family allowance
- Monthly child allowance
- Monthly non-resident allowance
- Installation grant
- Education grant for private schooling
- Financial support for travel to home country
Betriebliche Altersvorsorge
- Pension scheme
Sonstige Vorteile
- Death benefit
- Long-term care insurance
- Relocation support
- Generous optical cover
- Visa exemption
- Diversity and inclusion initiatives
Sicherer Arbeitsplatz
- Accident-at-work insurance
Weiterbildungsangebote
- Comprehensive training and development program
- Educational benefits
- Library access
Gesundheits- & Fitnessangebote
- Health insurance
- Private medical insurance
- Generous dental cover
Mehr Urlaubstage
- 30 days annual leave
Parkplatz & Pendelvorteile
- Free shuttle bus
Gratis oder Vergünstigte Mahlzeiten
- Subsidised on-site cafeteria
Lockere Unternehmenskultur
- Casual dress code
Team Events & Ausflüge
- Sports and social club activities
Kinderbetreuung
- Kindergarten
Großzügige Elternzeit
- Generous paid maternity leave
- Generous paid parental leave
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens European Molecular Biology Laboratory erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei European Molecular Biology LaboratoryÜber das Unternehmen
EU
ResearchHeidelberg
The company is a world leader in scientific research and develops cutting-edge technologies for data management in biology.
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