Member of Technical Staff - III, Technical Support

3 - 12 years

16 - 18 Lacs

Posted:1 day ago| Platform: Naukri logo

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Work Mode

Work from Office

Job Type

Full Time

Job Description

  • Provides highly visible customer support through the performance of on-site installation, as well as overseeing any necessary diagnoses, troubleshooting, service, and repair of complex equipment and systems
  • Checks out and approves operational quality of system equipment
  • Instructs customers in the operation and maintenance of the system
  • Serves as company liaison with customer on administrative and technical matters for assigned projects
  • Interprets customers needs and clarifies if the responsibility for problem resolution falls to sales personnel, customer support reps, or engineers
  • This job may include any aspect of field support, and is not limited to system hardware and software, PCs, and networking/wireless networking

 

Key Responsibilities
  • Data Science Research : Conduct research to combat spam, scam, and fraud in mobile telecommunication protocols.
  • Global Support : Assist mobile network operators worldwide in identifying, monetizing, and preventing spam and fraud.
  • Big Data Analysis : Analyze large volumes of Voice/SMS/MMS traffic.
  • Data Processing : Clean and preprocess data, perform exploratory and statistical analysis.
  • Machine Learning : Apply machine learning, data mining, and text mining techniques.
  • Visualization : Create visualizations and presentations of data findings.
  • Fraud Detection : Uncover activities of organized spammers and fraudsters, research new fraud techniques, and design detection algorithms.
  • Virus/Malware Prevention : Monitor and prevent virus and malware distribution vectors.
  • Customer Interaction : Present results to customers and lead discussions on managing fraud attacks.
Job Requirements
  • Data Science Research : Conduct research to combat spam, scam, and fraud in mobile telecommunication protocols.
  • Global Support : Assist mobile network operators worldwide in identifying, monetizing, and preventing spam and fraud.
  • Big Data Analysis : Analyze large volumes of Voice/SMS/MMS traffic.
  • Data Processing : Clean and preprocess data, perform exploratory and statistical analysis.
  • Machine Learning : Apply machine learning, data mining, and text mining techniques.
  • Visualization : Create visualizations and presentations of data findings.
  • Fraud Detection : Uncover activities of organized spammers and fraudsters, research new fraud techniques, and design detection algorithms.
  • Virus/Malware Prevention : Monitor and prevent virus and malware distribution vectors.
  • Customer Interaction : Present results to customers and lead discussions on managing fraud attacks.

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