Playtika Holding Corp. is a leader in interactive entertainment delivering personalized immersive experiences to millions of loyal players across a diverse portfolio of games. Founded in 2010, Playtika was among the first to offer free-to-play social games on social networks and, shortly after, on mobile platforms. Headquartered in Herzliya, Israel, and guided by a mission to entertain the world through infinite ways to play, Playtika has more than 3,500 employees in offices worldwide including Ramat-Gan, Berlin, Vienna, Helsinki, Chicago, Las Vegas, Newport Beach, Sydney, Kyiv, Bucharest, Minsk, Dnepr, and Vinnytsia.

The mobile gaming industry is competitive and certain roles require a great deal of technical expertise. Playtika is recruiting for a limited number of roles requiring unique skills and experience.

We are looking for a Senior Machine Learning Engineer to work with complex Machine Learning Infrastructure!

Responsibilities:

• Design Machine Learning Engines in Playtika's game economy predictions (Generative AI, Anomaly Detection and more)
• Implement and optimize ML algorithms and tools for time series and tabular data
• Train and retrain production models when necessary, Run live tests and experiments in order to optimize and scale predictions
• Collaborate with other data scientists, engineers, architects and analysts in global and dynamic environment
  
  

Requirements:

• 3+ years experience in ML engineering
• 3+ years experience in data engineering
• 3+ years experience as senior Java/Scala/Python developer
• Experienced with current SW development practices (Unit testing, TDD, source control, CI, CD, deployment automation)
• Good understanding of container and orchestration technologies (Docker, Kubernetes, etc.)
• Bachelor or Master’s degree in computer science, engineering, Mathematics or related field.
• Extensive knowledge in ML practices - AI Monitoring, Pipeline orchestration, etc.
• Experience with Big Data tools, in particular batch and stream processing (Spark, Kafka, Hadoop, Hive, etc.)
• Experience working on high-scale, production-grade AI Engines.
• Extensive experience working with SQL and no-SQL DB's.
• All-around team player who is a self-motivated and fast learner.
  
  

Advantages -

• Experience with ZenML, Kubeflow, MLflow
• in depth understanding of Machine Learning principles, experience with Machine Learning frameworks (Keras, Tensorflow, PyTorch) and libraries (scikit-learn, xgboost, etc.)
• Knowledge of Scrum
• Experience working with GPUs, CUDA, run:ai