PpThe Machine Learning Engineer plays a key role in enabling the industrialization of Machine Learning and AI solutions within the enterprise. The mission of the role is to promote and apply best practices in production-ready ML development, ensuring that AI solutions are robust, scalable, monitored, and fully integrated into IT production environments. /ppMachine Learning Engineers bridge the gap between AI Analytics teams and IT production, ensuring that Machine Learning models deployed to production are supported by appropriate data pipelines, infrastructure, automation, and monitoring from both a technical and business perspective. /ppThey contribute to the full lifecycle of AI services, from design and development to deployment, monitoring, and continuous improvement. /ph3Required Experience Knowledge /h3ulliMinimum 4 years of relevant experience as a Machine Learning Engineer, ML Platform Engineer, or similar role /li /ulh3Technical Skills /h3ulliStrong experience with containerization and virtualization (Docker, VMs) /liliExperience with AI platforms and development environments /liliCI/CD pipelines, preferably GitLab CI /liliCode, data, and model versioning practices /liliPackage management and dependency management /li /ulh3Preferred /h3ulliModel optimization and compression techniques /liliELT / ETL tools /li /ul /p #J-18808-Ljbffr