Synergeticon GmbH

AI Engineer

Synergeticon GmbH

full-time

Posted on:

Location Type: Hybrid

Location: Hamburg • Germany

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Tech Stack

DockerPyTorch

About the role

  • Develop robust perception and AI systems for industrial and robotic applications
  • Operate at the intersection of research and engineering
  • Train models independently
  • Translate cutting-edge research into prototypes
  • Integrate prototypes into production-ready systems
  • Apply and further develop classical and deep learning–based computer vision methods
  • Independently implement, train, and debug models using PyTorch
  • Optionally contribute NLP expertise in addition to computer vision
  • Work with real industrial camera systems (if applicable)
  • Use Docker for development and deployment workflows

Requirements

  • 3+ years of relevant professional experience or equivalent project experience (e.g., a Master’s thesis in a deep learning–focused environment)
  • Strong background in classical and deep learning–based computer vision
  • Excellent proficiency in PyTorch (independent implementation, training, and debugging of models)
  • Proven ability to translate research into functional prototypes and production-ready solutions
  • Experience working with real industrial camera systems (e.g., Lucid or comparable) is a plus
  • Solid understanding of machine learning fundamentals and the ability to critically evaluate research papers
  • Experience with NLP and Large Language Models (LLMs) is a plus (T-shaped profile preferred)
  • Strong interest in research and motivation to stay up to date with state-of-the-art developments
  • Responsible and transparent use of AI tools — leveraging them to accelerate implementation while maintaining ownership of system logic and architecture
  • Proactive mindset, high quality standards, and strong communication skills for stakeholder collaboration
Benefits
  • Work on cutting-edge AI systems for real-world industrial and robotic applications
  • High level of ownership and responsibility in technically challenging projects
  • Strong connection between research and real-world deployment
  • Opportunity to work with state-of-the-art technologies in Computer Vision, LLMs, Graph Systems, and Agentic AI
  • Flexible working hours and hybrid work options
  • Modern hardware and high-performance computing infrastructure
  • Flat hierarchies and fast decision-making processes
  • Collaborative, innovation-driven team culture
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
computer visiondeep learningclassical learningmodel trainingmodel debuggingPyTorchNLPLarge Language Modelsmachine learning fundamentalsprototyping
Soft Skills
communicationproactive mindsethigh quality standardsstakeholder collaborationresearch interestmotivationcritical evaluation