Our expectations:

Proficiency in designing and implementing IT systems
The ability to create friendly, versatile tools
Ability to critically analyze the created solutions in terms of efficiency (from theoretical estimation the efficiency of the designed systems to detecting and removing performance problems in production)

Additional advantages will be:

Experience in creating distributed systems
Good knowledge of Python data analysis tools such as Pandas, NumPy
Good knowledge of selected Big Data technologies such as Hadoop, Kafka, Storm, Spark or Flink
Knowledge of Machine Learning tools: Torch, PyTorch, TensorFlow

In return, we offer:

Very attractive salary
Work in a team of enthusiasts with experience in machine learning who willingly share their knowledge and skills
Extremely flexible cooperation conditions - you work when it is convenient for you and devote as much time as you can, you can work fully remotely
Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project
The ability to use your knowledge and competences in practical applications - when optimizing algorithms that support hundreds of millions of Internet users and buyers billions of advertising views per month in the RTB model, based on extensive data sets
The effects of your work immediately visible in the company's business results
The possibility of publishing your results

Do you have questions about the project, team, work style? Visit our tech blog: http://techblog.rtbhouse.com/jobs/

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Machine Learning Engineer

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