Experience in IT Operations involving Data Science, Artificial Intelligence/Machine Learning and Predictive Analytics.
Experience in architecting and implementation of end-to-end AIOPs solutions through ELK stack and/or OpenSource stack.
Experience in applying statistical methods, analysis, pattern recognition and modeling on IT Operational data using ELK machine learning.
Experience in extracting meaningful data from incoming data streams from different sources.
Hands-on experience in applying machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc in the IT Operation domain.
Experience with machine learning and statistical programming languages - Python, R etc.
Experience in assessing the existing IT environment and providing recommendations to reduce the critical applications impacting incidents.
Experience in exploring and identifying areas where manual tasks can be automated in an IT environment.
Experience with various Enterprise IT monitoring solutions including Infrastructure monitoring, Application Performance Monitoring, Network Monitoring, Cloud monitoring etc.
Experience in IT Service Management including Service Desk, Incident Management, Change Management, CMDB etc.
Excellent knowledge on various IT infrastructure components that includes Server Infrastructure, middle ware, database and application architectures and Cloud Components.
Experience/knowledge on Infra monitoring tools - NOI, Zabbix, AppDynamics, Datadog, SCOM, etc. and Service Management tools Remedy, ServiceNow etc.
Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark etc.
Good analytical skills, strong communication skills are a must.
Client facing experience is an added advantage.
Excellent experience in understanding the problem statement, architect and designing the solution
Excellent communication skills.
Python Data science
location_on Localização da empresa: Av. Paulista, 37 - 4º andar
Parceiro AWS e GCP especializado em migracao de servicos cloud