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(Senior) Engineer AI / Machine Learning R&D (m/f/d)

q.beyond ibérica S.L.

Allemagne
Hybride
EUR 70 000 - 90 000
Il y a 5 jours
Soyez parmi les premiers à postuler
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(Senior) Engineer AI / Machine Learning R&D (m/f/d)
q.beyond ibérica S.L.
Allemagne
Hybride
EUR 70 000 - 90 000
Plein temps
Il y a 5 jours
Soyez parmi les premiers à postuler

Résumé du poste

A leading IT service provider in Germany is seeking a (Senior) Engineer AI / Machine Learning R&D to develop and implement innovative AI solutions. The role involves collaboration with various teams, development of open-source LLMs, and ensuring performance optimization of models. Candidates should have proven experience in AI and deep learning, excellent communication skills, and knowledge of cloud technologies. The company offers flexible work arrangements, training programs, and a healthcare plan.

Prestations

30 days of vacation
Company healthcare program
Flexible work location

Qualifications

  • Proven experience in leading R&D teams in AI.
  • Solid expertise in machine learning and deep learning.
  • Experience developing AI systems for enterprises.
  • Familiarity with modern open-source frameworks.

Responsabilités

  • Development and evaluation of open-source LLMs and generative models.
  • Design and implementation of agent systems.
  • Setup of experimental pipelines and benchmarks.
  • Prototyping new features and functionalities.
  • Performance optimization for real-time environments.

Connaissances

Leading R&D teams in AI
Machine learning expertise
Deep learning skills
MLOps experience
Open-source technologies familiarity
Analytical skills
Communication skills

Outils

TensorFlow
PyTorch
Kubernetes
Description du poste
BRINGING FORCES TOGETHER. REALIZING DIGITALIZATION.

Work with us - a leading provider in Cloud, SAP, Microsoft, and software development - and shape future-proof IT solutions for our corporate clients.

Digitize the German midmarket with us as a (Senior) Engineer AI / Machine Learning R&D (m/f/d)

LAY FOUNDATIONS. ENSURE EFFICIENCY.
YOUR TASKS:
  • Development, adaptation and evaluation of open-source LLMs and generative models (e.g. LLaMA baselines, Mistral, Mixtral, Stable Diffusion, VLMs)
  • Design and implementation of agent systems incl. tooling, memory strategies, routing logic and MCP-based interactions
  • Setup of experimental pipelines, benchmarks and test environments for model performance, safety and robustness
  • Prototyping of new features, functionalities and AI-supported use cases
  • Collaboration with research & engineering teams to transition prototypes into stable systems
  • Documentation, knowledge transfer and active contribution to internal open-source communities
  • Translation of requirements into prototypes and scalable service solutions
  • Performance optimization of models and algorithms for productive real-time environments
  • Co-design of an AI orchestration layer for systematic control of distributed AI components in enterprise architectures
  • Contribution to a powerful, future-ready AI architecture within the platform strategy
  • Development of technical solution concepts for scalable, context-aware AI applications
  • Selection of suitable tools, technologies and frameworks balancing open source, security and scalability
  • Close collaboration with interdisciplinary teams from data science, software engineering, product and project management
  • Consulting and enablement of colleagues and client teams in developing and using AI services
  • Communication of complex technical content to stakeholders at various levels
  • Active knowledge sharing within and beyond the team
FEELING SATISFACTION. ENJOYING ADVANTAGES.
WHAT WE OFFER:
  • Continue your journey: Expand your professional horizons and explore exciting internal development opportunities and a wide range of training programs.
  • Experience the difference: Receive respect and appreciation from your colleagues and take advantage of the diverse offerings of our diversity management.
  • Look into the future: Work with the latest technologies and the constant innovations
  • Find the balance: Benefit from our mix of trust-based working hours and flexible work location (including home office) for a great work-life integration.
  • Feel well taken care of: We provide you a company healthcare program.
  • Unplug and relax: 30 days of vacation
USE SKILLS. CREATE SOMETHING NEW.
WHAT YOU BRING WITH YOU:
  • Proven experience in leading R&D teams in the field of Artificial Intelligence
  • Solid expertise in machine learning, deep learning and MLOps
  • Experience in developing and implementing AI systems for enterprise environments
  • Familiarity with modern open-source technologies and frameworks (e.g. TensorFlow, PyTorch, Kubernetes)
  • Strong analytical skills and ability to solve complex problems
  • Excellent communication skills and ability to convey technical concepts clearly

BUNDLING FORCES. MAKING DIGITALIZATION A REALITY.

We are looking for people who are committed to contributing their expertise and personality to achieve the best for our customers. People like you who want more - and expect more.

APPLY QUICKLY. RECEIVE FEEDBACK.

You can apply quickly and easily without a cover letter. Simply upload your CV and certificates online on our job portal.

FIND YOUR INTERFACE AT Q.BEYOND

q.beyond AG stands for successful digitalization. As one of the leading IT service providers in Germany, we have our own certified data centers and support companies in finding, implementing and operating the best digital solutions for their business. With extensive expertise in the areas of cloud, SAP, Microsoft, data intelligence, security and software development, our strong team of 1,100 employees guides our medium-sized customers safely through the digital transformation. q.beyond has locations throughout Germany as well as in Latvia, Spain and India.

q.beyond ibérica S.L.

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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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