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Job Description

Welcome to Warner Bros. Discovery… the stuff dreams are made of.


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 storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers 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:


The successful candidate will help WBD accelerate the use of Generative AI to solve business and operational challenges and promote innovation in their organization. As an applied scientist, you are proficient in designing and developing advanced ML models to solve diverse challenges and opportunities. You will work with terabytes of data to solve real-world problems and explore new opportunities to make processes more efficient. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and user experience.


Your Role Accountabilities:


  • Create ML/Generative Ai models: Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across the company. Understand business problems and needs, to define and implement scalable Generative AI solutions to solve them
  • Collaboration: Work closely with cross-functional teams, including IT (Information Technology), development, operations, and business units, to gather requirements and ensure automation is embedded proactively
  • Technical Expertise: Possess in-depth knowledge of ML algorithms and innovative deep learning (DL), spending time to keep learning and provide guidance to other teams across the organization

Qualifications & Experiences:


  • Bachelor's degree in information technology, math, or a related field.
  • Proven experience 5 to 8 years of experience in building ML/AI models for business applications
  • Knowledge of programming languages such as C/C++, Python, Java, or related language
  • Experience programming in Java, C++, Python, or related language
  • Experience with neural deep learning methods and machine learning
  • Adaptability to a fast-paced and evolving technological landscape.
  • Strong collaboration skills and ability to influence and engage teams.
  • Extremely strong interpersonal and communication skills, with the ability to communicate technical concepts clearly.
  • Fluent in English

Not Required but preferred experience:


  • Experience with large data lakes such as Snowflake.

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 www.wbd.com/guiding-principles/  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 the diversity of our society and the world around us. 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.If you’re a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at recruitadmin@wbd.com.

Job Details

Job Location
Hyderabad Pakistan
Company Industry
Other Business Support Services
Company Type
Unspecified
Employment Type
Unspecified
Monthly Salary Range
Unspecified
Number of Vacancies
Unspecified

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