The 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.
Machine 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.
They contribute to the full lifecycle of AI services, from design and development to deployment, monitoring, and continuous improvement.
Required Experience & Knowledge Minimum 4 years of relevant experience as a Machine Learning Engineer, ML Platform Engineer, or similar role
Technical Skills Strong experience with containerization and virtualization (Docker, VMs)
Experience with AI platforms and development environments
CI/CD pipelines, preferably GitLab CI
Code, data, and model versioning practices
Package management and dependency management
Preferred Model optimization and compression techniques
ELT / ETL tools
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