(TU192) | HIGHLY SKILLED MLOPS ENGINEER WANTED

Senior ml ops engineer join our company as a senior machine learning operations (mlops) engineer to work on cutting-edge projects involving ai and machine learning. in this role, you will be responsible for deploying and managing ml workflows in production environments. responsibilities: - design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ml models in production. - develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ml lifecycle. - build tools for model performance monitoring, operational analytics, and drift mitigation, ensuring reliable operation in production environments. - collaborate with cross-functional teams, including engineering, product, and data science, to integrate mlops best practices into our software development life cycle. requirements: - 3+ years of experience in mlops, ml engineering, data engineering or related roles, focusing on deploying and managing ml workflows in production environments. - 5+ years of experience using python. - proficient in using databricks, apache spark, ml flow, unity catalog, and feature stores. - familiarity with ml lifecycle tools such as mlflow, kubeflow, and airflow. - strong knowledge of git workflows, ci/cd practices, and tools like gitlab or similar. - upper-intermediate english level. benefits: - professional growth: accelerate your professional journey with mentorship, techtalks, and personalized growth roadmaps. - competitive compensation: we match your ever-growi...