MLOps Engineer in Nestlogic

MLOps Engineer Київ, Вінниця, віддалено Requirements ● 3+years ofhands-on experience asanMLOps orMLEngineer with ops orientation. ● Proven track record inbuilding and managing MLpipelines, and CI/CD processes and tools. ● Extensive experience inML workflows and Data Orchestration frameworks such as AirFlow, Prefect, MLFlow, Kubeflow, SageMaker, etc. ● Familiarity with container orchestration tools, including Kubernetes. ● Experience with AWS cloud-based services. ● Ability towrite efficient, scalable Python code. ● Experience with source control (e.g., Bitbucket, Git). ● B.Sc.inComputer Science, Engineering, Math, oranother quantitative field— an advantage. ● Strong problem-solving skills with good analysis for root cause detection. ● Ability towork both collaboratively with ateam and independently. ● Self-learner with acan-do attitude. Responsibilities ● Build the infrastructure for the MLlifecycle, from development todeployment and monitoring. ● Work together with Data Scientists, Data Engineers, Software Engineers, and Product teams totrain, deploy, and manageML models throughout their lifecycle— from development toproduction. ● Design, implement, manage, monitor, and optimize ascalable and robust infrastructure for machine learning workflows. ● Implement metrics-based processes toimprove the accuracy and reliability ofour MLmodels, including early detection and mitigation ofperformance issues. ● Implement and manage CI/CD pipelines for machine learning workflows. ● Automate model training, retraining, testing, validating, and deployment processes. ● Proactively identify and resolve issues related tomodel performance and data quality. ● Communicate effectively with stakeholders tounderstand requirements and provide updates onmodel deployment and performance.