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Generative AI Engineer

Location: Frankfurt am Main, Germany



  • Research, develop, and implement generative models such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformers for various applications including image generation, text generation, and creative content synthesis.

  • Design and optimize neural network architectures and training pipelines to achieve high-quality and diverse outputs while addressing challenges such as mode collapse, training stability, and scalability.

  • Collect, preprocess, and curate large-scale datasets for training and evaluating generative models, ensuring data quality, diversity, and relevance to specific use cases.

  • Collaborate with cross-functional teams to define project goals, experiment design, success metrics, and evaluation methodologies for generative AI projects.

  • Stay current with the latest research papers, techniques, and advancements in generative AI and contribute to the internal knowledge sharing and continuous learning initiatives.

  • Work closely with product teams to integrate generative AI capabilities into existing products or develop new products and features that leverage generative models.

  • Collaborate with external research partners, academic institutions, and industry experts to advance the field of generative AI through collaborative research projects and publications.



  • Master's or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, or related field, with a focus on machine learning, deep learning, or artificial intelligence.

  • Proven experience in developing and deploying generative models, with a strong track record of research publications, projects, or applications in the field of generative AI.

  • Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, and experience with training and fine-tuning large-scale neural networks.

  • Strong understanding of generative model architectures, loss functions, regularization techniques, and optimization algorithms.

  • Experience with advanced topics in deep learning such as unsupervised learning, self-supervised learning, and reinforcement learning is a plus.

  • Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud Platform) and distributed computing frameworks for scalable model training and deployment.

  • Excellent programming skills in languages such as Python, with experience in data manipulation, visualization, and analysis libraries (e.g., NumPy, Pandas, Matplotlib).

  • Proficiency in using deep learning development tools and libraries for model development, debugging, and experimentation.

  • Familiarity with version control systems (e.g., Git), collaborative software development workflows, and agile methodologies.

  • Strong analytical and problem-solving skills, with the ability to experiment, iterate, and troubleshoot effectively in a research-oriented environment.

  • Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team and communicate complex technical concepts to non-technical stakeholders.

  • Fluent English skills necessary, German preferred


  • Competitive salary and performance-based incentives

  • Opportunities for professional development and training

  • Collaborative and innovative work environment

  • Exposure to a diverse range of industries and projects

  • Flexible work arrangements

  • Chance to be part of a growth story

If you are passionate about using data to drive business success and enjoy working in a dynamic and collaborative environment, we would like to hear from you.

How to Apply


Please submit your resume and transcripts to

ANALYTIX ONE is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.

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