Big Data / AI Engineer

Key Skills

Aartificial intelligence, AWS, Azure, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data Lake, Data science techniques, DevOps, Google Products, MLOps tools, SQL, Terraform

Job Description

Your responsibilities:

• Construction, development and maintenance of Big Data and AI solutions, in the CI/CD approach
• Close cooperation with the Data Science team
• Activities in Cloud solutions, in a modern approach, with great potential for competence development
• Implementation of interesting projects in cooperation with internal and external partners.
• Recognition of new solutions/tools to actively support the business in achieving its goals
• Maintaining appropriate software development standards

Our expectations:

• A minimum of two years of experience in the Big Data area, ideally in Cloud Data Lake solutions
• Knowledge of SQL
• Additional knowledge of at least one programming language
• Cloud experience, the bigger the better (preferably AWS, Google, Azure)
• DevOps skills and attitude (CI/CD, IaaC – optimally Terraform, “automate everything” approach)
• MLOps experience highly desirable
• Higher education (preferably technical profile)
• Good knowledge of English (min. B1)
• Focus on working in a team, commitment and knowledge sharing
• Independence and willingness to develop

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.

The Legal Bits…

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.