Machine Learning Engineer

Our partner develops an American software product - a business unit that focuses on automating insurance claim subrogation for auto, workers compensation, property, and general liability claims. It leverages data analysis and AI/Machine learning packaged into a smart workflow engine to:

• Minimize the impact of subrogation team turnover.
• Decrease the administrative costs of subrogation.
• Simplify and optimize cross-carrier interaction.
  

What you'll do:

• Design, implement, and support scalable multi-tenant data infrastructure solutions.
• Designing and implementing complex ingestion and analysis pipelines and other BI solutions.
• Interface with other engineering, and ML teams to extract, transform, and load data.
• Use variety of data sources such as SQL/Non-relational and big data technologies.
• Work with customers to understand, gather, and analyze their data sources and define/implement the ingestion strategy.
  

What you bring to the table:

• Еxperience in Software Development, Data Engineering, Business Intelligence or related field.
• Hands-on experience of SQL/Non-relational, Data Modeling, ETL Development leveraging Python, Java, Scala or similar.
• Еxperience using big data technologies (Postgresql, Hadoop, Hive, Hbase, Spark, etc.).
• Experience working with data streaming technologies (Kafka, Spark Streaming, etc.).
• Knowledge and experience with Data Management and Data Storage best practices.

What's in it for you:

• Fully remote work.
• Flexible benefits package.
• Company Discount Club.
• Employee Assistance Program.
• Childbirth allowance.

If this opportunity sounds interesting to you, send your CV in English.
Please mind that only shortlisted candidates will be contacted.

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All applications will be treated with strict confidentiality.