Test Lead

Job description

We are looking for a testing professional who has experience in testing and quality assurance for the AI based products / solutions. This position is based out of Bangalore. The details of the requirements are as follows: Key Responsibilities Responsibilities • Conduct automated and manual tests where necessary to ensure the software created is fit for purposes. · Test end‑to‑end AI pipelines · Validate model performance, fairness, and safety · Perform data quality testing · Develop automation for ML/AI testing · Test LLMs and generative AI outputs • Ensure compliance with AI quality, governance, and ethics guidelines • Plan and execute performance testing to evaluate system stability, responsiveness, and efficiency under different load conditions. • Implement security testing practices to safeguard application integrity, ensuring adherence to industry security standards. • Work as part of cross-functional, passionate agile project teams, data scientists to ensure quality is driven into the heart of the development process from requirements definition through to delivery • Be meticulous about documentation and maintain a robust log of all test cases and test results • Ensure that all tests are executed and give regular feedback to the team on the status of quality • Work closely with the software engineering team, Product Management and Technical Operations as well as business users as required Skill Requirements Required Skills & Experience: • 4-7 years in automation testing, • With testing experience in TWO AI based SW products / projects. • Exposure to Healthcare Domain • Strong Software Testing Fundamentals • Test design techniques: boundary value, equivalence partitioning, combinatorial testing. • API testing, integration testing, system testing, regression testing. • Familiarity with tools like Postman, JMeter, Selenium, Playwright, etc. • significant experience BDD Framework (e.g., Cucumber, Gherkin) • Good Understanding of Machine Learning Concepts Not at the level of a data scientist—but understanding fundamentals such as: • supervised/unsupervised learning, • overfitting/underfitting, • model evaluation metrics, • data preprocessing workflows, • concept drift, data drift. • AI/ML Testing Tools & Frameworks Familiarity with: • MLflow , Kubeflow , Weights & Biases – for experiment tracking. • Great Expectations , Tecton , Deequ – for data quality testing. • Apache Airflow or Prefect – for pipeline validation. • TensorFlow Serving / TorchServe – for model serving tests. • Automation & DevOps Skills • CI/CD tools: Azure DevOps, GitHub Actions, Jenkins. • Containerization: Docker, Kubernetes (for testing model deployment). • Monitoring tools: Prometheus, Grafana, Seldon Core. • Testing Large Language Models (LLMs) • Prompt engineering basics. • Evaluation frameworks such as Ragas , Promptfoo , or OpenAI Evaluations . • Understanding hallucination detection; jailbreaks, toxicity (desirable). • Data Analysis Skills • Ability to manipulate, clean, validate, and statistically analyze datasets (Desirable) • Use pandas, SQL, Jupyter, or similar tools. • Soft Skills • Strong analytical mindset. • Curiosity to explore uncertain or stochastic system behavior. • Collaborative communication with data scientists and ML engineers. Other Requirements Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion. • Disclaimer • Privacy Statement • Terms of use • Sitemap • Raise a Grievance • We use cookies on our site. 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