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  • with ambiguity and make quality decisions in a dynamic, fast-paced environment Strong teamwork and interpersonal skills; ability to communicate and thrive in a cross-functional matrix environment Able to quickly learn new technologies as they become prevalent Strong and innovative approach to problem solving

  • have experience of working with Agile methodologies Should be able to manage multi-vendor engagements Ability to review code and guide team on optimal technical solutions

  • have experience of working with Agile methodologies Should be able to manage multi-vendor engagements Ability to review code and guide team on optimal technical solutions

  • to successful conclusion * May assist in orienting, training, assigning and checking the work of less experienced developers * Possesses and applies a broad knowledge of application programming processes and procedures to the completion of complex assignments * Collaborate with Project Managers, Application

  • JOB DESCRIPTION: The Network architect is responsible for designing and improving Network solutions, is responsible for managing projects, technicians and resources needed to prepare solution design. Network Architect must be able to identify user requirements by researching and analyzing user

  • Looking for Pega Professionals for Hyderabad location 3 to 7 years Pega PRPC experience Should have CSA and CSSA certification Should have working knowledge on Activities, Flows ( Screen Flow, Tab Flow, Adding decision, sub flows & integration to Flow ), UIs rules, Harness, Sections, Portals ...

  • Experience on MPLS-VPNs L3 and L2 VPNs VPLS,IPSEC,SSL,VPN,QOS,Wireless communication Experience in VLAN,VTP,STP,dot1x,ether-chennel Configuration ,installation,troubleshooting L2 L3 services,ASA,wireless devices understanding of access connectivity, redundancy and fast convergence

  • Programming in Python, C++, R , Azure ML Strong Foundation in statistical modelling for Machine Learning Probability and Statistics: Firm understanding of Probability & Statistics like Naive Bayes ,Gaussian Mixture Models, Hidden Markov Models etc Applied Math + Algorithms: Discriminate models like SVM, convex optimization, gradient decent , quadratic programming, lagrange, partial differential equations, etc ...

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