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Senior AI Telecom QA Engineer

Persistent Systems


Job Location:

Pune - India

Monthly Salary: Not provided by the employer
Posted: 24 October 2026 (20 hours ago)
Application Deadline: 21 January 2027
Vacancies: 1 Vacancy

Job Summary

About Persistent

We are an AI-led platform-driven Digital Engineering and Enterprise Modernization partner combining deep technical expertise and industry experience to help our clients anticipate whats next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India and numerous innovators across the healthcare ecosystem.

Our disruptors mindset commitment to client success and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation leadership and inclusion. We reported $1654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24sequential quarters of growth with $436.0M in Q4 FY26 revenue up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27500global team members located in 18 countries have been instrumental in helping the market leaders transform their industries. We have been recognized as theFastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in theEverest Group Private Equity (PE) Services PEAK MatrixAssessment 2026andSoftware Product Engineering PEAK MatrixAssessment 2026.

About Position:

We are looking for an experienced Senior AI Telecom QA Engineer to validate AI/ML-driven telecom analytics platforms data pipelines and network intelligence solutions. This role focuses on building scalable automation frameworks for validating machine learning models telecom analytics workflows network KPIs alarms voice services SIP signaling and data quality across 2G 3G 4G and 5G environments. The ideal candidate will have strong expertise in QA automation machine learning validation API testing telecom analytics and data quality assurance. This is an automation-first role where the primary responsibility is to ensure the quality reliability and accuracy of ML-driven systems through automated testing data validation API verification and telecom domain analytics.

  • Role: Senior AI Telecom QA Engineer
  • Location: All Persistent Locations
  • Experience: 6 to 12 Years
  • Job Type: Full-Time Employment

What Youll Do:

  • Design develop and maintain scalable automation frameworks and regression suites for ML analytics and telecom data validation workflows.
  • Validate machine learning model outputs prediction accuracy classification and regression results scoring behavior and business-rule compliance.
  • Build automated validation frameworks for data preprocessing feature engineering data transformation duplicate detection and ingestion consistency.
  • Validate telecom datasets and workflows across 2G 3G 4G and 5G network technologies.
  • Perform testing of telecom KPIs alarms QoS/QoE metrics call records session records service assurance outputs dashboards and operational reports.
  • Develop and maintain Python and PyTest-based automation suites for API testing data validation and regression coverage.
  • Perform REST API validation using Postman and Python including schema validation response verification data integrity checks and error handling.
  • Implement smoke integration system regression and release validation suites supporting continuous delivery pipelines.
  • Validate SQL-based analytical outputs across structured and semi-structured datasets.
  • Support exploratory testing UAT activities release certification and edge-case validation when required.
  • Validate Excel-based calculations formulas transformations and business logic used within analytics workflows.
  • Integrate automated validation frameworks with Git Linux Docker Kubernetes and CI/CD ecosystems.
  • Log track reproduce prioritize and verify defects using Jira and defect management processes.
  • Collaborate with Data Scientists ML Engineers Developers Product Teams and DevOps teams to ensure end-to-end quality.
  • Prepare automation strategies test plans validation reports quality metrics and defect summaries.
  • Provide troubleshooting support for production incidents impacting telecom analytics ML models and network intelligence platforms.

Expertise Youll Bring:

  • 612 years of experience in Quality Assurance with significant focus on automation and data-driven testing.
  • Strong understanding of functional integration regression system exploratory and end-to-end testing methodologies.
  • Experience building scalable automation frameworks for analytics machine learning and data-intensive applications.
  • Strong telecom domain experience across 2G 3G 4G and 5G technologies.
  • In-depth understanding of SIP signaling call flows telecom protocols voice services and service assurance platforms.
  • Experience validating telecom KPIs network performance metrics subscriber analytics QoS/QoE measurements alarms and operational reporting systems.
  • Strong understanding of machine learning concepts model validation techniques and AI-driven application testing.
  • Experience validating feature engineering pipelines data transformations model outputs and prediction results.
  • Hands-on expertise with SQL Pandas and NumPy for data verification and analytical validation.
  • Experience validating dashboards reporting platforms trend analysis anomaly detection outputs and time-series analytics.
  • Strong programming skills in Python and automation development.
  • Hands-on experience with PyTest and automated test execution frameworks.
  • Expertise in REST API testing and validation using Postman and automation frameworks.
  • Experience creating automated validation suites for APIs data platforms analytics services and ML workflows.
  • Experience with Git Docker Linux Jira Kubernetes and CI/CD environments.
  • Understanding of MLOps processes and model lifecycle validation.
  • Strong analytical thinking troubleshooting debugging and root-cause analysis skills.
  • Ability to independently investigate complex ML telecom and data-quality issues.
  • Excellent documentation reporting stakeholder management and communication skills.
  • Ability to collaborate effectively with geographically distributed and cross-functional teams.

Benefits:

  • Competitive salary and benefits package
  • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
  • Opportunity to work with cutting-edge technologies
  • Employee engagement initiatives such as project parties flexible work hours and Long Service awards
  • Annual health check-ups
  • Insurance coverage: group term life personal accident and Mediclaim hospitalization for self spouse two children and parents

Values-Driven People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals including those with disabilities and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

  • We support hybrid work and flexible hours to fit diverse lifestyles.
  • Our office is accessibility-friendly with ergonomic setups and assistive technologies to support employees with physical disabilities.
  • If you are a person with disabilities and have specific requirements please inform us during the application process or at any time during your employment

Lets unleash your full potential at Persistent- is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.


Required Experience:

Senior IC


About Company

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Re(AI)magining the World with Persistent Systems: Transform your AI journey with a trusted partner in digital engineering and enterprise modernization services.

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