Remote Machine Learning Engineer

Description:

• The company, founded in 1999, is a leading technology provider in the gaming industry, listed on the London Stock Exchange.
• Playtech focuses on regulated markets and delivers innovative products and services for a safe and engaging gaming experience.
• The BI unit is seeking a passionate Machine Learning Engineer to work with cutting-edge technologies and enhance systems.
• The role involves developing production data science applications in Python, designing new AI services, maintaining data science pipelines, collaborating with R&D and DevOps teams, researching machine learning algorithms, and performing predictive and statistical modeling.

Requirements:

• Candidates must have a minimum of 3 years of experience as a Python developer, including familiarity with PyCharm, git, and debugging.
• A minimum of 3 years of experience in predictive modeling, preferably within data science production services, is required.
• At least 3 years of experience in tabular or time series data analysis in a data developer, data scientist, or data analyst role is necessary.
• Proficiency in SQL for data manipulation and visualization is essential.
• Strong team players with excellent communication skills, capable of working collaboratively in a remote environment, are preferred.
• A high level of English proficiency is required.
• A Bachelor's degree in Engineering, Economics, Mathematics, Statistics, or a similar field is mandatory.

Benefits:

• The company values engaged user experiences, developing personalized recommendations and churn mitigation strategies.
• Data-driven decision-making is emphasized, with insightful reports generated to empower informed decisions.
• Employees have the opportunity to work with cutting-edge technologies and explore new solutions.
• Playtech prioritizes responsible development, ensuring innovative solutions lead to responsible user experiences.
• The company promotes an inclusive work environment, celebrating differences and encouraging everyone to be themselves at work.