Playtika is looking for a seasoned, experienced, and passionate
AI Architect to lead the professional domain of AI infrastructure. As an AI architect, you will design state-of-the-art platforms and solutions that will reshape the player interaction by enabling a smart and personalized game experience enhanced by advanced AI engines

As an architect, you will vision and design an integrated development environment for ML that empowers data scientists through model prototyping and training, while shortening time-to-market from modeling to deployment. You will design platforms to streamline various data and model manipulation operations throughout the ML lifecycle. You will also be responsible for validating the platform productivity & efficiency by designing and assessing solutions developed on those platforms.

You will join a team of professionals in Playtika with exceptional soft skills and outstanding hard skills. Playtika AI group activities that take worldwide are executed by dozens DSs, MLEs, DEs working collaboratively to form one of the biggest innovative AI Group in Israel. The position located in Israel.

• Lead the architecture & design of an E2E integrated development environment for ML platform and related infrastructure forming this IDE.
• Ownership of the software architecture, design reviews & technical solutions for AI, and ML products
• Explore, assess, and embrace state-of-the-art technologies relevant to meet the data scientists’ challenges and keep the ML platform eco-system current and competitive
• Drive the adoption of Playtika ML Platform and AI products across Playtika Portfolio of games.
• Articulate high-quality architecture and high-level design technical artifacts and communicate them to stakeholders.
• Works closely & collaborate with the DS, MLE, DE, DevOps teams, and products owners to fully cover business needs, best-fit design, and all technical aspects of platforms.
• Work and collaborate with other Architects in the company to achieve better E2E product solutions for end-users

• At least 7 years of practical R&D experience in ML engineering, data engineering, or software engineering
• At least 3 years with architectural/design experience
• Bachelor's degree in Computer Science/Engineering or another quantitative field
• Good knowledge & experience in creating architecture & design for platforms/projects with respect with design patterns and styles
• Hands-on experience in software development Python and Java - high coding standards, clean code, well documented, and extensive unit testing
• Experience with ML platforms and related technologies like Kubeflow, MLflow, Argo, Airflow, etc.
• Practical Experience with Big Data platforms and related technologies like Spark, Kafka, Hive, Data Lakes, etc.
• All-around team player who is a self-motivated, fast learner
• Proven knowledge in machine learning platform design, like pipeline & model development, management, deployment, and monitoring
• Strong leadership, organizational abilities, and communication skills
• Ability to clearly communicate complex technical ideas, regardless of the technical capacity of the audience
• Experience with container & orchestration technologies (Docker, Kubernetes, etc.)
• Experience with on-premise/cloud operations (DevOps & DataOps) routines, provisioning and configuration management tools, strong knowledge and understanding of CI/CD processes and deployment tools.
• Working in an agile environment
• Fluent English