MLOps Engineer

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. Show more Show less