Codeninja

Automation Testing Lead - AI/ML

SDET II - Automation for AI/ML

Digital Delivery Project Manager

Associate Product Manager

DevOps Engineer

DevOps Team Lead

Talent Acquisition Executive

Digital Delivery PMO Specialist

This role requires a Senior SDET to lead AI/ML testing, developing strategies for models, pipelines, and APIs.  Responsibilities include collaborating with data scientists, developing automation frameworks (Selenium, JUnit, TestNG), ensuring CI/CD integration, mentoring junior team members, managing defects, and communicating effectively with stakeholders.  The ideal candidate will possess 5+ years of experience in testing AI/Data Science applications, strong programming skills (Python, Java, or C#), and expertise in AI/ML libraries (TensorFlow, PyTorch, scikit-learn).  The position involves leading agile teams and promoting a quality-first mindset throughout the development lifecycle.

Senior SQA Automation Engineer

<section aria-labelledby="job-description-title" class="styles--3vx-H" data-ui="job-description"><h2 id="job-description-title">Description</h2><div><p><strong>Position Overview:</strong><br> As a Senior SDET, you will play a leadership role in ensuring the quality and reliability of AI-driven solutions within our teams. Your experience in manual and automated testing, combined with expertise in testing AI/Data Science applications, will advance our testing strategies, methodologies, and tools. Beyond individual contributions, you will mentor team members, promote testing excellence, and influence the team to embed a quality-first mindset in the development process for AI and Data Science initiatives.</p><p>  </p><p><strong>Key Responsibilities:</strong></p><p><strong>🔹 AI/ML Testing Leadership</strong></p><ul> <li>Provide leadership in developing testing strategies for AI/ML models, data pipelines, and APIs, ensuring output accuracy and consistency.</li> <li>Collaborate with data scientists and developers to validate AI/ML models, focusing on model fairness, accuracy, and scalability.</li> <li>Drive the development of tools and processes for validating AI algorithms and performance metrics.</li> </ul><p><strong>🔹 Agile Leadership</strong></p><ul> <li>Partner with the scrum team to align testing strategies with sprint and product goals, promoting a quality-first mindset.</li> <li>Advocate for AI-specific testing practices and methodologies, ensuring they are embedded in the development lifecycle.</li> <li>Stay updated with advancements in AI testing tools and technologies to provide thought leadership.</li> </ul><p><strong>🔹 Advanced Automation &amp; Manual Testing</strong></p><ul> <li>Lead the design, development, and enhancement of automation frameworks tailored for AI, Data Science, and web/API applications.</li> <li>Ensure integration of automated tests into CI/CD pipelines, enabling rapid feedback on AI features and updates.</li> <li>Strategically design manual and exploratory tests to complement automation, particularly for complex AI-driven features.</li> </ul><p><strong>🔹 Testing Strategy &amp; Expertise</strong></p><ul> <li>Develop comprehensive test strategies that encompass AI model testing, data validation, and regression testing.</li> <li>Mentor junior team members, enhancing the team’s capabilities in AI/ML-specific testing and overall QA competency.</li> </ul><p><strong>🔹 Defect Management</strong></p><ul> <li>Foster a proactive approach to defect prevention, emphasizing early identification of issues in AI pipelines and workflows.</li> <li>Promote defect tracking and resolution for both traditional software and AI-driven solutions.</li> </ul><p><strong>🔹 Collaboration &amp; Communication</strong></p><ul> <li>Collaborate closely with developers, data scientists, and product managers to ensure seamless integration of testing in AI projects.</li> <li>Effectively communicate testing strategies, insights, and results to technical and non-technical stakeholders.</li> </ul></div></section><section aria-labelledby="job-requirements-title" class="styles--3vx-H" data-ui="job-requirements"><h2 id="job-requirements-title">Requirements</h2><div><ul> <li> <strong>5+ years</strong> of experience as an SDET or in a similar role, with demonstrated expertise in testing AI/Data Science applications.</li> <li>Extensive knowledge of software QA methodologies, tools, and processes.</li> <li>Strong programming skills in Python, Java, or C#; familiarity with AI/ML libraries like TensorFlow, PyTorch, or scikit-learn is a plus.</li> <li>Proficiency with test automation tools (e.g., Selenium, JUnit, TestNG) and DevOps practices.</li> <li>Experience with data validation, AI model testing, and APIs.</li> <li>Proven ability to mentor and lead QA efforts in cross-functional teams.</li> </ul></div></section><section aria-labelledby="job-benefits-title" class="styles--3vx-H" data-ui="job-benefits"><h2 id="job-benefits-title">Benefits</h2><div><ul> <li>Provident Fund</li> <li>Gym Membership</li> <li>Leaves as per the company policy.</li> <li>Company-paid trips</li> <li>Easy Loan Facility for Employees</li> <li>Yearly increment</li> <li>Health Insurance (includes spouse and parents)</li> </ul></div></section>