AI/Machine Learning Engineer at PLAYTIKA HOLDING CORP

Kyiv, , Ukraine -

Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

0.0

Posted On

28 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Data Science, Statistical Analysis, Software Engineering, Kubernetes, Big Data, Spark, Real-Time Applications, Python, API Development, ML Libraries, Streaming Data, Large Language Models, Asynchronous Processing, Memory Management

Industry

Computer Games

Description

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: Must Haves: • Bachelor's or Master’s degree in Computer Science, Engineering, or a related discipline. • 3-5 years as a Backend Engineer, or a similar role, with a consistent record of successfully delivering ML solutions • Solid software engineering skills, including experience with Git, Docker, and CI/CD pipelines. • Hands-on experience in designing and deploying systems in Kubernetes environment. • Experience with big data tools i.e. Spark, and working with structured and unstructured data. • Experience with real-time and streaming applications. • Ability to work with cross-functional teams, articulate ML concepts to non-technical stakeholders, and lead projects from concept to execution. Nice to Have: • Experience as a ML/GEN-AI Engineer, or a similar role. • High proficiency in Python, with extensive experience with Python software development, Python-based ML libraries, and API development (FastAPI). • Deep understanding of Python programming principles, including object-oriented programming, asynchronous processing, and memory management. • Hands-on experience deploying ML models using tools like BentoML. • Experience with real-time ML applications and streaming data (Kafka, Flink, etc.). • Experience in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents using frameworks like LangChain and LlamaIndex. 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! Employee at Playtika? Click here

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Responsibilities

Design and implement machine learning systems that influence millions of players. Collaborate with cross-functional teams to transform data science prototypes into full-scale products.