Machine Learning Engineer / Product Data and Back Office

Warsaw, Poland

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Evolution

Evolution is a leading B2B solution provider for casino operators offering live casino, live game shows, slots and more.

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Company Description

Evolution is an award-winning company, founded in 2006. Across our 20+ sites, we have 10 000+ people working in the fields of Product Innovation, Software Development, Game Presenters & Hosts, IT-support, Facility & Studio build as well as support services. Evolution provides a dynamic and creative work environment with a unique opportunity for the right people to enhance their skills and drive their passion. Our culture is rooted in Evolution’s core values ALIVE, do RIGHT and work TOGETHER and we operate guided by our vision to become the leading supplier of online casino in the world.

Job Description

We are searching for a passionate Machine Learning engineer/ software developer to join our Data Science team.

Qualifications

Main Duties & Responsibilities:

  • Design, build and maintain applications, pipelines and workflows for our data science use-cases;
  • Work closely with data scientists to bring prototype ML models to production;
  • Work with other teams to provide data and build infrastructure for our ML solutions;
  • Take part in ML model maintenance, retraining and quality monitoring;
  • Work with business and technical stakeholders to select and design data science solutions;
  • Continuous learning about state-of-the-art technologies and practices in the data science and engineering domain.

Qualifications:

  • University degree in numerical field (Computer science, Machine Learning, Mathematics, Physics, Engineering, etc.);
  • Experience as software developer with at least one of the languages: Python, Scala, Java;
  • Experience with SQL and Big data processing frameworks such as Spark or Flink;
  • Experience with at least one ML framework and knowledge in at least one Machine Learning field such as regression, classification, clustering, optimisation, statistics.
  • Experience bringing a machine learning solution to production;
  • Highly proficient in spoken and written English;
  • Excellent communication skills and a pragmatic approach to problem-solving;
  • Willingness to learn and interest in the latest trends in programming and machine learning.

Nice to Have:

  • Knowledge of Scala and interest in functional programming highly appreciated;
  • Experience with AWS or other cloud provider;
  • Experience with Kafka, Clickhouse, Postgres, Kubernetes, Docker.

Additional Information

We offer:

  • Challenging work with the award-winning products in a dynamic international team;
  • Health insurance;
  • Professional and personal development;
  • Opportunities to progress within the company.

 

 

 

Evolution is a market-leading developer and provider of products and services for online casino entertainment. Our excellence is driven by over 15,000 EVOlutioneers across 30 markets worldwide, working in product innovation, software development, IT solutions, game hosting and business support. Evolution's dynamic and creative environment creates a unique opportunity for personal and professional growth.

Our integrated business-to-business solutions guarantee that our clients can always provide an unrivaled online entertainment experience to their players globally. We thrive on remaining an award-winning digital powerhouse of entertainment products and services with an ever-expanding line-up of product brands: Evolution Live, NetEnt, Red Tiger, Ezugi, Big Time Gaming, Nolimit City and DigiWheel.

Evolution is a Swedish company founded in 2006 and listed on Nasdaq Nordic (EVO). More information on Evolution.com.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Big Data Classification Clustering Computer Science Docker Engineering Flink Kafka Kubernetes Machine Learning Mathematics ML models Physics Pipelines PostgreSQL Python Scala Spark SQL Statistics

Perks/benefits: Career development

Region: Europe
Country: Poland
Job stats:  7  0  0

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