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We’re looking for an MLOps Engineer to join our DevOps team and take part in building a new Software Factory designed to support developers and engineering managers by automating software development, testing, deployment, and system update processes.
This is an early-stage project with existing CI processes, combining hands-on AI development with
the implementation and deployment of solutions in Air-Gapped environments.
What you'll do
Develop and implement AI solutions and RAG pipelines using Python
Integrate LLMs and Vector Databases into the platform
Build AI capabilities to support and automate software development processes
Deploy and operate solutions in Air-Gapped environments, including managing dependencies for offline environments
Integrate AI solutions into CI, automated testing, and deployment processes
Independently drive technical tasks and solve challenges throughout the project lifecycle
What we’re looking for:
Hands-on experience developing AI / Machine Learning solutions, or DevOps experience combined with Machine Learning
B.Sc. in Computer Science
Proven experience deploying and running solutions in Air-Gapped environments without internet access, including CI processes in a local environment – Must
At least one hands-on AI project, whether professional, academic, or personal
Practical understanding of RAG, information enrichment, and Vector Databases
Strong Python skills and the ability to develop solutions beyond prompt engineering
Independent, proactive, and comfortable working in an early-stage project environment
Nice to have
Experience with LangChain
Experience with CI/CD and AI solution deployment
Early-career candidates are welcome to apply!
If you have a strong personal or academic AI project and meet the core requirements, we’d love to hear from you.