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Data Engineer Tech Lead

Description

Playtika Holding Corp. is a leading mobile gaming company and monetization platform with over 35 million monthly active users across a portfolio of games titles. 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 over 3,700 employees in 19 offices worldwide including Tel-Aviv, London, Berlin, Vienna, Helsinki, Montreal, Chicago, Las Vegas, Santa Monica, Newport Beach, Sydney, Kyiv, Bucharest, Minsk, Dnepr, Vinnytsia, and Lausanne.

Playtika is looking for an experienced technical lead for leading DE's guild in the AI group.

You will join a team of people with exceptional soft skills and outstanding hard skills, that like to share lunchtime together, talk about everyday life, sports, travels, etc. and that transforms into highly trained geeks when extracting leverageable information from Terabytes of structured and unstructured data (per day!).

Playtika DE development activities are happening in Israel and Switzerland. The DE tech lead will oversee the entire DE development life-cycle, DE tools, infrastructures, and technology road map.

Responsibilities

• Oversee the overall DE development life-cycle, from design and planning to implementation and support to maintain a high standard of software quality
• Responsible for work methodologies and tools across all the DE guild, setting coding and coding review standards, testing standards, interfaces, hand-over procedures with internal customers (like MLOPS), build and release management processes, etc.
• Works closely with the DS and infrastructure teams, system architect’s and products spread across several countries.
• Designing and implementing DE and DS infrastructures.
• Report directly to the AI R&D group manager.
• Design data science, statistical, machine learning, and deep learning systems that influence millions of players
• Implement and optimize appropriate ML algorithms and tools for time series and tabular data
• Transform data science prototypes into full-scale products, while deploying and monitoring ML models
• Train and retrain systems when necessary.
• Create or extend existing ML libraries and frameworks

Requirements

• 5+ years experience in ML engineering or data engineering or software engineering
• 2+ years experience as a tech lead or team leader.
• BSc in Computer Science, or any related degree
• Solid working experience in Python and Java - high coding standards, clean code, well documented, and extensive unit testing
• Experience working with databases (SQL and no-SQL)
• Experience with Big Data tools, in particular, Batch and stream processing (Spark, Kafka, Hadoop, Hive, etc.)
• Good understanding of container & orchestration technologies (Docker, Kubernetes, etc.)
• Experience working on high-scale, production-grade projects
• All-around team player who is a self-motivated, fast learner
• Strong leadership and organizational abilities.
• Excellent communication, motivational, and interpersonal skills

Advantages

• Experience with Scala
• Experience with ML platforms (Kubeflow, MLflow, cnvrg.io, etc.)
• Experience with machine learning frameworks (like Keras, Tensorflow, or PyTorch) and libraries (like sci-kit-learn)
• Familiarity in ML evaluation metrics (Precision, Recall, F1 Score, etc.)
• Experience with training, testing, deployment, and monitoring real-time (or near real-time) machine learning models in production
• Experience with orchestration/pipelines (Airflow, Ray, etc.)
• Background working with a cloud technology stack
• Experience developing CI/CD workflows and tools (Jenkins, TeamCity, etc.)