MLOps Engineer in Nestlogic

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 asAirFlow, 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— anadvantage.? 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 provideupdates on model deployment and performance.