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 with
the 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 environment
This position is open to all candidates.