MLOps

Were 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 withthe implementation and deployment of solutions in Air-Gapped environments.Responsibilities* 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.Requirements:

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 environmentThis position is open to all candidates.