Machine Learning Engineer

Join us at Playtika (NASDAQ: PLTK), where we're driven by the belief life needs play. We're on a mission to deliver infinite ways to play using cutting-edge technologies like AI and machine learning to craft immersive experiences that connect, inspire and entertain millions of players worldwide.

From our start as a small mobile games company founded in Israel to our current position as a publicly traded company and industry leader, we continue to be a dominant force in interactive entertainment. With a diverse portfolio of award-winning, category-leading Casual and Social Casino-themed games, including nine of the top 100 highest-grossing mobile games in the US, we're setting the standard for excellence.

Our success story is co-authored by a dynamic team of storytellers, strategists, creators and data scientists who thrive on innovation. We are home of the best, advancing an inclusive culture that embraces our core values and reflects our agile DNA.

With a strong financial foundation, disciplined operations, unwavering player-focused approach and relentless can-do spirit, we're well-positioned for sustained growth. If you're ready to join the driving force behind the evolution of interactive entertainment, we invite you to come play with us.

Responsibilities:

• 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
• Run live tests and experiments
• Train and retrain systems when necessary
• Create or extend existing ML libraries and frameworks
• Collaborate with other scientists, engineers, architects and analysts spread across several countries

Requirements:

Your Experience & Skills:

• MSc 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- Must.
• Experience working with databases (SQL and no-SQL)
• Experience with Scala
• Experience with training, testing, deployment, and monitoring real-time (or near real-time) machine learning models in production
• Experience with machine learning frameworks (like Keras, Tensorflow, or PyTorch) and libraries (like scikit-learn) - Big Advantage.
• Experience with Big Data tools, in particular batch and stream processing (Spark, Kafka, Hadoop, Hive, etc.) - Must
• Good understanding of container & orchestration technologies (Docker, Kubernetes, etc.) - Must
• Experience working on high-scale, production-grade projects
• All-around team player who is a self-motivated, fast learner

Benefits:

• Annual company bonus
• Competitive salary & flexible working hours
• Daily breakfast, lunch, and office refreshments
• Private health insurance, dental coverage, and psychological counseling
• 20 paid vacation days and 5 sick days per year
• 6 long weekends and 1 day off for your birthday
• Gifts for special occasions (birthday, Easter, Christmas, Women's and Men's Day, weddings, childbirth, etc.)
• Technical library with the option to order books
• Access to our educational platform with courses, training programs, and certifications
• Career development through coaching and reviews
• Internal mobility & referral program
• Corporate celebrations, team-building events, and fun activities
• Personal care in the office (nails, eyebrows, and barber services)
• Modern offices (Kyiv, Vinnytsia, Dnipro) with organized shuttle buses to and from the office

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you feel the above describes you perfectly - Apply now

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