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Staff, Solutions Architect AI/ML Job Opening In Begumpet – Now Hiring Warner Bros Discovery


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:

As the Staff, Solutions Architect (AI/ML), you will play a pivotal role in driving the adoption of AI and Machine Learning solutions within one of the world’s largest Media & Entertainment companies.

Based in India, you will lead the design and implementation of innovative AI/ML architectures that transform how we create, distribute, and monetize content across global markets.

Your expertise will help bridge the gap between complex business challenges and advanced technical solutions, ensuring AI initiatives deliver real business value.

This is a unique opportunity to work at the intersection of creativity and technology, where you’ll lead the development of intelligent solutions for personalized viewer experiences, optimized content workflows, and data-driven decision-making.

If you’re passionate about leveraging AI/ML to revolutionize the Media & Entertainment industry and thrive in a dynamic, collaborative environment, this role is for you.

1.

AI/ML Solution Design and Development

  • Design and develop scalable AI/ML solutions tailored to address business challenges such as audience analytics, content personalization, and ad optimization.

  • Lead the end-to-end architecture of AI/ML platforms, ensuring seamless integration with existing systems and data pipelines.

  • Collaborate with data scientists, engineers, and business stakeholders to convert models into production-ready solutions.

  • Evaluate and select appropriate AI/ML frameworks, technologies, and tools to meet project requirements.

  • Ensure AI solutions are optimized for performance, scalability, and reliability across diverse use cases.

  • 2.

    Technical Leadership and Innovation

  • Provide technical leadership for AI/ML projects, guiding teams through solution architecture, development, and deployment.

  • Stay abreast of emerging AI/ML trends and technologies to introduce innovative solutions and best practices.

  • Lead proof-of-concept (POC) initiatives to validate new AI capabilities and demonstrate their potential impact.

  • Promote a culture of innovation within the team, encouraging experimentation with cutting-edge AI/ML techniques.

  • Mentor junior architects and engineers to build a strong pipeline of AI/ML talent.

  • 3.

    Collaboration and Stakeholder Engagement

  • Act as a key interface between business units, technical teams, and senior leadership to align AI/ML solutions with organizational goals.

  • Translate business requirements into technical specifications, ensuring clarity and feasibility.

  • Collaborate with cross-functional teams to prioritize and execute AI/ML projects that deliver the highest business impact.

  • Communicate the value and progress of AI/ML initiatives to non-technical stakeholders through clear, compelling narratives.

  • Foster strong relationships with external partners, including technology vendors and academic institutions, to drive innovation.

  • 4.

    AI Governance and Risk Management

  • Implement best practices for AI/ML governance, including model explainability, accountability, and ethical use.

  • Ensure AI solutions comply with data privacy regulations and internal security protocols.

  • Proactively identify and mitigate risks associated with AI/ML implementations, such as bias, overfitting, or data quality issues.

  • Develop monitoring frameworks to track model performance and retrain models as necessary to maintain effectiveness.

  • Establish guidelines and documentation for AI/ML processes, ensuring consistency and transparency.

  • 5.

    Scalability and Continuous Improvement

  • Architect solutions that are modular and scalable, capable of supporting future business growth and technological evolution.

  • Regularly review and optimize existing AI/ML systems for improved performance and cost-efficiency.

  • Establish feedback loops to capture learnings from deployed solutions and inform future enhancements.

  • Identify opportunities for automation and operational efficiency using AI/ML.

  • Lead initiatives to streamline workflows and reduce time-to-market for AI/ML projects.

  • Qualifications & Experiences:

    Academic Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical discipline.

  • Specialized certifications in AI/ML (e.g., Google Cloud AI Engineer, AWS Machine Learning Specialty) are a plus.

  • Professional Experience:

  • 8+ years of experience in AI/ML solution architecture, with at least 3+ years in a leadership role.

  • Proven track record of designing and deploying AI/ML solutions in enterprise-scale environments, preferably within Media & Entertainment or a similar industry.

  • Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, Azure, GCP).

  • Strong expertise in building and optimizing data pipelines, model deployment workflows, and MLOps practices.

  • Experience in implementing AI use cases like recommendation systems, natural language processing (NLP), and computer vision.

  • Technical Skills:

  • Proficiency in programming languages like Python, Java, or R.

  • Expertise in big data technologies (e.g., Spark, Hadoop) and database systems (SQL, NoSQL).

  • Solid understanding of microservices architecture and APIs for AI model integration.

  • Advanced knowledge of AI model lifecycle management, from training to deployment and monitoring.

  • Familiarity with visualization tools (e.g., Tableau, Power BI) to present AI-driven insights.

  • Soft Skills:

  • Exceptional problem-solving and critical-thinking abilities.

  • Strong communication skills with the ability to articulate technical concepts to non-technical audiences.

  • Collaborative mindset with the ability to work effectively in cross-functional teams.

  • Leadership qualities, including mentoring and team development.

  • High adaptability to a fast-paced and dynamic work environment.

  • 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 Staff Solutions Potential: Insight & Career Growth Guide


    Real-time Staff Solutions Jobs Trends (Graphical Representation)

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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 Staff, Solutions Architect 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 Staff, Solutions Architect AI/ML?

    Key qualifications for Staff, Solutions Architect 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.

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    Interview Tips for Staff, Solutions Architect AI/ML Job Success

    Warner Bros Discovery interview tips for Staff, Solutions Architect AI/ML

    Here are some tips to help you prepare for and ace your Staff, Solutions Architect 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.

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    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 Staff, Solutions Architect 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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