Automation Test Engineer

HCLTech

Jigani

Hybrid

INR 900,000 - 1,300,000

Full time

3 days ago
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Job summary

HCLTech in Bengaluru area seeks an Automation Test Engineer focusing on AI/ML. You will design and maintain automated test suites for web, mobile, and AI-powered applications, collaborating with product, developers, and QA teams.

Experience 4–5 years, strong QA foundations, proficiency in Python/Java, Selenium, Appium, API testing, and MLOps awareness. You will validate data quality, model performance, and integration with workflows.

Qualifications

  • 3-4 years of hands-on experience in test automation.
  • 1-2 years of experience testing AI/ML-powered applications or features.
  • Proven experience working in Agile/Scrum development environments.
  • Experience with building and maintaining test automation frameworks.

Responsibilities

  • Design and develop automated test cases for web, mobile, and API-based applications.
  • Create and maintain comprehensive test automation frameworks using industry-standard tools.
  • Develop reusable test libraries and utilities to improve testing efficiency.
  • Execute regression, smoke, functional, and integration testing.
  • Design and execute test cases specifically for AI/ML models and features.
  • Validate data quality, model accuracy, and prediction correctness.
  • Test AI-driven features (chatbots, recommendation engines, NLP models, computer vision).
  • Identify edge cases and potential failures in intelligent systems.
  • Monitor and validate AI model performance metrics and KPIs.
  • Test integration of AI/ML models with application workflows.

Skills

Python
Java
JavaScript/TypeScript

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

Selenium
Appium
Postman
REST Assured
Zephyr
Jira
Jenkins

Job description

Automation Test Engineer (AI-Focused)
Job Description
Position Overview

We are seeking an experienced Automation Test Engineer with solid expertise in AI/ML testing to join our Quality Assurance team. The ideal candidate will have 4-5years of professional experience in test automation and a strong understanding of AI-powered applications, machine learning model testing, and emerging AI technologies.

Experience Level - 4 to 5 yrs

Job Summary

As an Automation Test Engineer, you will be responsible for designing, developing, and maintaining comprehensive automated test suites for web, mobile, and AI-powered applications. You will work closely with development, product, and QA teams to ensure software quality, identify defects early, and optimize testing processes. Your expertise in AI/ML testing will be critical in validating intelligent systems, model performance, and data accuracy.

Key Responsibilities
Test Automation & Development
  • Design and develop automated test cases for web, mobile, and API-based applications
  • Create and maintain comprehensive test automation frameworks using industry-standard tools
  • Develop reusable test libraries and utilities to improve testing efficiency
  • Execute regression, smoke, functional, and integration testing
AI/ML Testing Expertise
  • Design and execute test cases specifically for AI/ML models and features
  • Validate data quality, model accuracy, and prediction correctness
  • Test AI-driven features (chatbots, recommendation engines, NLP models, computer vision)
  • Identify edge cases and potential failures in intelligent systems
  • Monitor and validate AI model performance metrics and KPIs
  • Test integration of AI/ML models with application workflows
Test Planning & Strategy
  • Collaborate with product managers and developers to understand requirements and test scenarios
  • Develop comprehensive test strategies and test plans for new features
  • Identify, document, and track defects with clear severity and reproduction steps
  • Estimate testing effort and timelines for assigned projects
  • Participate in test case reviews and quality assurance discussions
Quality Assurance & Reporting
  • Generate detailed test reports with metrics, coverage analysis, and recommendations
  • Monitor test execution and provide status updates to stakeholders
  • Identify opportunities for process improvements and automation optimization
  • Maintain test documentation and keep test cases up-to-date
  • Participate in root cause analysis for critical defects
Collaboration & Communication
  • Work with cross-functional teams including developers, product managers, and DevOps engineers
  • Participate in sprint planning, standups, and retrospectives
  • Mentor junior QA team members and share testing best practice

Present findings and recommendations to technical and non-technical stakeholders

Required Qualifications
Experience
  • 3-4 years of hands-on experience in test automation
  • 1-2 years of experience testing AI/ML-powered applications or features
  • Proven experience working in Agile/Scrum development environments
  • Experience with building and maintaining test automation frameworks
Technical Skills
Programming Languages:
  • Python (preferred for AI/ML testing)
  • Java
  • JavaScript/TypeScript
Test Automation Tools:
  • Selenium, , Appium.
  • API testing tools (Postman, REST Assured, or similar)
  • Test management tools (Zephyr)
  • CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or similar)
AI/ML Testing Knowledge:
  • Understanding of machine learning concepts (supervised/unsupervised learning, classification, regression)
  • Experience testing AI/ML models, APIs, and integrations
  • Familiarity with AI testing frameworks or tools (e.g., , PyTorch testing utilities)
  • Knowledge of data validation and quality assessment techniques
  • Database & SQL: Ability to write queries for data validation and test data management
  • Version Control: Git or similar version control systems
Education
  • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or related field
  • OR equivalent professional experience in QA/test automation
Soft Skills
  • Strong analytical and problem-solving abilities
  • Excellent attention to detail and quality focus
  • Clear communication and documentation skills
  • Ability to work independently and as part of a team
  • Time management and ability to handle multiple priorities
  • Proactive approach to learning new tools and technologies
Preferred Qualifications
  • Experience with machine learning operations (MLOps) and model monitoring
  • Familiarity with cloud platforms (AWS, GCP, Azure) and their testing services
  • Knowledge of performance and load testing tools (JMeter, LoadRunner)
  • Experience with containerization technologies (Docker, Kubernetes)
  • Experience with BDD frameworks (Cucumber)
  • Participation in open-source QA projects or communities
  • Relevant certifications (ISTQB, AWS Certified, etc.)
  • Experience with GenAI testing (LLMs, prompt engineering validation)
Tools & Technologies
Required
  • Selenium
  • Python or Java
  • Git
  • Zephyr, or Jira
Preferred
  • Docker
  • Jenkins or GitHub Actions
  • PyTorch
  • AWS/GCP/Azure
  • Appium
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