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  • Hamburg

  • We're looking for a Machine Learning Engineer with research experience to join our AI team. You'll bridge the gap between research and engineering, implementing and deploying state-of-the-art NLP solutions while maintaining high engineering standards.

    Important: This position is based in our Hamburg office.

    Tasks

    Implement and adapt latest research in NLP for production use

    • Develop and deploy efficient RAG systems and fine-tuning pipelines
    • Design and conduct experiments to validate new approaches
    • Build and maintain ML pipelines and data processing workflows
    • Contribute to MLOps practices and infrastructure improvements

    Requirements

    Required Qualifications:

    • Master's degree in Computer Science, Engineering, or related technical field
    • 3+ years of hands-on ML engineering experience
    • Demonstrated research experience (publications, research projects, or industrial research)
    • Strong programming skills in Python and ML frameworks (PyTorch, JAX)
    • Experience with latest transformer based architectures
    • Knowledge of ML deployment and MLOps tools (Docker, MLflow, W&B, DVC)

    Nice to Have:

    • ASR experience
    • Reinforcement learning experience
    • Experience with multi-modal models
    • Knowledge of distributed training systems
    • Open-source contributions
    • Experience in a startup-like environment
    • German proficiency is a plus

    Benefits

    • Attractive compensation aligned with your skills
    • Flexible work arrangements
    • Professional development allowance

    If you're passionate about Machine Learing and want to work with cutting-edge technologies, we'd love to hear from you!

    Location: Hamburg Employment Type: Full-time

    Application form

    Apply for the job by filling the job application form with your details

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