The impact You will create:
- Designing, implementing, and maintaining cloud-based infrastructure for training and managing computer vision datasets and models
- Optimizing deployment pipelines to support seamless integration of machine learning models
- Collaborating with data scientists and AI engineers to streamline model training, testing, and deployment
- Managing and deploying ML pipelines, ensuring integration into production environments
- Creating a robust, secure, scalable, and efficient infrastructure for our large-scale AI solutions
Experience and skills You will need:
- Strong relevant work experience with machine learning and AI workflows
- Proficiency with training, tracking and managing machine learning models with modern MLOps tools (MLFlow, Airflow)
- Practical experience with managing ML pipelines and serving models through APIs
- Familiarize with DevOps and monitoring, ideally with a software development background
- Ability to solve complex technical challenges quickly, reliably and independent by implementing and operating pragmatic and scalable solutions
Additional information:
Your application will be reviewed in strict confidentiality. Only the approved candidates will be invited to an interview. Providing your personal data you explicitly agree that it will be processed for the purpose of recruiting and for the purpose of possible signing of a labour contract and will be stored and operated by “Schwarz Global Services” EOOD and “Lidl Bulgaria EOOD and Co” KD in their capacity of personal data controller and personal data processor in accordance with the Bulgarian Data Protection Legislation and the General Data Protection Regulation 2016/679 (GDPR). Please have in mind that with this you give permission for your resume to be shared with other parties of the Schwarz Group.
MLOps ENGINEER AI (Computer Vision) (m/f/d)