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Job Location | Bangalore |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | IT - Software |
Functional Area | DBA / Datawarehousing |
EmploymentType | Full-time |
IBM Cloud Computing is a one-stop shop which provides all the cloud solutions & cloud tools the industries need. IBM Cloud portfolio includes infrastructure as a service (IaaS), software as a service (SaaS) and platform as a service (PaaS) offered through public, private and hybrid cloud delivery models, in addition to the components that make up those clouds.IBM Cloud ensures seamless integration into public and private cloud environments. The infrastructure is secure, scalable, and flexible, providing customized enterprise solutions that have made IBM Cloud the Hybrid Cloud Market leader with our market leading IAAS and PAAS Platforms. The IBM Cloud platform is the public cloud offering from IBM providing services to global enterprises. IBM Cloud is the Cloud for Smarter Business, built on Open Technology with Developer Tools and supports solutions by Industry. We run the services and workloads from Watson, Blockchain, Services, Security, and IoT.Ready to help drive IBMs success in the Cloud market This is your chance to research and learn new Cloud related technology products and services, as well as to design and implement quick Cloud based prototypes while advancing your career in leading edge technology.Who you are:Our team enables the application of data for improving the efficiency, reliability and effectiveness of IBM Cloud and the development of platforms and applications for the same. Our focus spans the gamut of IBM cloud infrastructure operations across compute, networking and storage and involves active collaboration with the broader operations, SRE and development teams.What you ll do:As a Data Scientist you would be involved in the development of analytics workflows for offline analysis as well as real-time analytics for alerting, root cause analysis, capacity management and auto-mitigation among other things. For any non-trivial data analytics activities, the integrity and quality of input data is of critical importance and so the work will also involve understanding the diverse data sources in our operations, extracting and building appropriate metrics from them to drive operations improvements. You would also be actively involved in the deployment and operations of the technologies you build even while having a big focus around development. Applicants with experience in the areas of developing and deploying machine learning techniques for practical applications, cloud and data center infrastructure operations, cloud native applications/services development and deployment would be preferredHow we ll help you grow:You ll have access to all the technical and management training courses to become the expert you want to be.You ll learn directly from Senior members/leaders in this field.Youll have the opportunity to work with multiple clients.Required Technical and Professional Expertise
Keyskills :
machine learningpythondata analysissqlanalyticssoftware as a serviceroot cause analysisdata center infrastructuresoftware development tools