MLOps Engineer
Join an early-stage project building a software factory that automates software development, testing, deployment, and system updates. Develop AI solutions and integrate them into CI workflows, including for air-gapped environments.
Responsibilities
- Develop AI solutions and RAG pipelines in Python
- Integrate large language models and vector databases into the platform
- Build AI capabilities to automate software development processes
- Deploy and operate solutions in air-gapped environments, including managing offline dependencies
- Integrate AI solutions into CI, automated testing, and deployment processes
- Drive technical tasks and resolve challenges throughout the project lifecycle
Requirements
- B.Sc. in Computer Science
- Required hands-on experience deploying and operating solutions in air-gapped environments without internet access, including local CI processes
- At least one hands-on AI project, professional, academic, or personal
- Practical understanding of RAG, information enrichment, and vector databases
- Strong Python skills and ability to develop solutions beyond prompt engineering
- Experience developing AI or machine-learning solutions, or DevOps experience combined with machine learning
Nice to have
- Experience with LangChain
- Experience with CI/CD and deploying AI solutions