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QA Engineer AI/ML Job Opening In Begumpet – Now Hiring Warner Bros Discovery

QA Engineer AI/ML

    India Jobs Expertini Expertini › India › Jobs › Begumpet › Computer Occupations › Qa Engineer Ai/ml

Job description

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth.

Behind WBD’s vast portfolio of iconic content and beloved brands, are the bringing our characters to life, the bringing them to your living rooms and the creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves.

Here you are supported, here you are celebrated, here you can thrive.

Your New Role:

Join one of the world’s largest and most innovative Media & Entertainment companies as a QA Engineer - AI/ML, where you’ll ensure the quality and reliability of cutting-edge AI and machine learning solutions that are transforming the industry.

Our AI/ML-powered systems play a crucial role in optimizing content production, personalization, and consumer engagement, and your contributions will be instrumental in delivering seamless, scalable, and efficient solutions to our global audience.

As a QA Engineer specializing in AI/ML, you’ll work closely with data scientists, software engineers, and product teams to rigorously test AI models, data pipelines, and machine learning platforms.

Your role will involve defining and implementing robust quality assurance practices for complex AI systems, ensuring they meet the highest standards of performance, scalability, and security.

If you are passionate about AI, testing, and driving quality excellence in a dynamic environment, this is your opportunity to make an impact.

1.

Quality Assurance for AI/ML Models and Pipelines

  • Develop and execute comprehensive test plans, test cases, and test scripts to validate AI/ML models and data pipelines.

  • Perform rigorous testing of machine learning models to ensure accuracy, reliability, and robustness under various scenarios.

  • Validate data preprocessing, feature engineering, and model training pipelines for correctness and consistency.

  • Identify and address performance bottlenecks in AI systems, ensuring scalability for large datasets and real-time applications.

  • Collaborate with data scientists to validate model outputs and metrics against business requirements.

    • 2.

    Automation Testing and Tool Development

  • Design and implement automated test frameworks and tools tailored for AI/ML workflows.

  • Automate testing of model deployments, APIs, and data pipelines using industry-standard tools and frameworks.

  • Create scripts to simulate edge cases, stress conditions, and user interactions for AI systems.

  • Build monitoring tools to assess AI model drift, data inconsistencies, and system performance post-deployment.

  • Continuously enhance automation coverage and testing efficiency through innovative practices.

    • 3.

    Collaboration and Cross-Functional Engagement

  • Work closely with software engineers, data engineers, and product managers to align QA strategies with project goals.

  • Participate in code reviews, design discussions, and sprint planning to incorporate QA perspectives early in the development lifecycle.

  • Provide actionable feedback and insights to development teams to resolve issues and improve system quality.

  • Support end-to-end integration testing of AI/ML solutions across multiple platforms and systems.

  • Act as a quality advocate, promoting best practices for testing and validation within the organization.

    • 4.

    Governance, Compliance, and Reporting

  • Ensure compliance with data privacy, security, and ethical AI standards during testing and deployment.

  • Develop and maintain comprehensive documentation for QA processes, test cases, and system validations.

  • Monitor and report on key QA metrics, including defect rates, coverage, and system reliability.

  • Support regulatory audits and reviews by providing required testing documentation and evidence.

  • Stay up-to-date with industry trends, tools, and practices in QA for AI/ML systems.

    • 5.

    Continuous Improvement and Innovation

  • Research and adopt emerging technologies and frameworks for AI/ML testing and validation.

  • Drive continuous improvement initiatives to enhance the efficiency and effectiveness of QA processes.

  • Proactively identify and resolve quality gaps in AI/ML workflows, ensuring a seamless user experience.

  • Contribute to building a culture of quality and accountability within the AI/ML team.

  • Mentor junior team members on QA best practices and technical skills.

    • Qualifications & Experiences:

    Academic Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field.

  • Certifications in software testing (e.g., ISTQB, CSTE) or machine learning (e.g., AWS ML, TensorFlow Developer) are a plus.

    • Professional Experience:

  • 3+ years of experience in QA engineering, with at least 1+ years focused on testing AI/ML systems.

  • Proven expertise in testing machine learning models, data pipelines, and cloud-based AI solutions.

  • Hands-on experience with test automation tools and frameworks such as Selenium, PyTest, JUnit, or similar.

  • Familiarity with CI/CD pipelines and tools like Jenkins, GitHub Actions, or Azure DevOps.

  • Solid understanding of software testing methodologies, including functional, regression, performance, and stress testing.

    • Technical Skills:

  • Proficiency in Python or Java, with experience in writing test scripts for AI/ML applications.

  • Knowledge of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.

  • Experience with testing tools specific to AI/ML, such as DeepChecks or Alibi.

  • Familiarity with data querying languages (SQL) and data processing tools (Pandas, Spark).

  • Understanding of cloud platforms (AWS, GCP, Azure) and their AI/ML services.

    • Other Skills:

  • Strong analytical and problem-solving skills, with a detail-oriented approach.

  • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team.

  • Passion for quality and a commitment to delivering exceptional results.

  • Ability to adapt to a fast-paced and dynamic environment while maintaining a focus on continuous improvement.

  • Self-motivated and proactive, with a drive to stay updated on industry trends and best practices.

    • How We Get Things Done…

    This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done.

    You can find them at along with some insights from the team on what they mean and how they show up in their day to day.

    We hope they resonate with you and look forward to discussing them during your interview.

    Championing Inclusion at WBD

    Warner Bros.

    Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences.

    Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your QA Engineer Potential: Insight & Career Growth Guide


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    Are You Looking for QA Engineer AI/ML Job?

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Warner Bros Discovery adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying India laws and regulations

    What Is the Average Salary Range for QA Engineer AI/ML Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Begumpet. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for QA Engineer AI/ML?

    Key qualifications for QA Engineer AI/ML typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

    How Can I Improve My Chances of Getting Hired for QA Engineer AI/ML?

    To improve your chances of getting hired for QA Engineer AI/ML, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    Interview Tips for QA Engineer AI/ML Job Success

    Warner Bros Discovery interview tips for QA Engineer AI/ML

    Here are some tips to help you prepare for and ace your QA Engineer AI/ML job interview:

    Before the Interview:

    Research: Learn about the Warner Bros Discovery's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

    Be Positive: Focus on your strengths and accomplishments.

    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your QA Engineer AI/ML interview at Warner Bros Discovery, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Warner Bros Discovery's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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