Deep Learning Solutions Architect (m/f/d)

Company overview:

IKARA Vision Systems is a spin-off from the German Research Center for Artificial Intelligence (DFKI), focused on transforming cutting-edge research into real-world solutions. Our key areas include visual analytics, real-time deep learning systems, and feasibility studies for industries like retail, Industry 4.0, smart mobility, and security & safety. We’re seeking a Deep Learning Solutions Architect to join our growing team.
If you are a motivated individual with a hands-on mentality and have a desire to work on interesting projects at the intersection between cutting-edge research and industrial applications, do not hesitate to apply.

Required Qualifications:
– Degree in a STEM field (e.g., computer science, data science, engineering).
– 2+ years of experience in a similar role (solutions architect, software engineer, etc.).
– Strong software development skills, especially in Python.
– Deep knowledge of Deep Learning and/or Computer Vision.
– Project management experience, ideally in IT.
– Fluency in English and German (B2 level or higher).

Preferred Skills:
– Proficiency in C++, JavaScript, and experience with automated testing.
– Knowledge of GPU programming (CUDA, OpenGL) and modern web frameworks (e.g., Next.js, React).
– Experience with databases (SQL, NoSQL), API design, and distributed system architectures.
– Hands-on experience with deep learning models.

Key Responsibilities:
– Design and develop high-performance system architectures and software.
– Work across the full technology stack, from concept to deployment.
– Manage and coordinate internal and external projects.
– Collaborate with stakeholders to gather requirements and provide technical guidance.
– Customize and adapt solutions to meet specific user needs.

What we can offer you:
– Exciting projects that bring research to life in industrial applications.
– A collaborative, flat-hierarchy environment with a talented team.
– Competitive salary with potential for profit sharing.
– Flexible working hours and the option to work remotely.
– Excellent career growth opportunities.
– Prime location in Kaiserslautern’s “science mile,” near top research institutions.

How to Apply:
If you’re excited about applying AI to real-world challenges, we’d love to hear from you! Please send your CV, degree or professional diploma, academic transcripts and and a brief cover letter to positions@ikara.ai. For additional information regarding this position, please contact Markus Kächele, E-Mail: markus.kaechele@ikara.ai