Join our dynamic Hub in Europe as an MLOps Engineer, where youll collaborate with data scientists, analysts, and engineers to build, scale, and optimize cutting-edge ML & analytics solutions. Your contributions will directly influence critical business decisions in supply chain and marketing.
Ready to make an impact? Apply now!
responsibilities :
Optimize and implement data science and ML solutions in Azure cloud environments
Lead the full lifecycle of data science projects, leveraging best practices like DevOps, CI/CD, and model management
Collaborate with engineering to improve data consumption
Manage and troubleshoot ML pipelines, ensuring smooth operations
requirements-expected :
Minimum 2 years of experience in ML Ops or ML engineering