Machine Learning Engineer

Our partner is a product company, and one of its initiatives has recently commenced in Bulgaria, where they are consistently innovating solutions to enhance decision-making for insurers, automotive manufacturers, and collision repairers.

We are looking for a Machine Learning Engineer to be in charge of designing and executing data-driven solutions for solving business problems in insurance claim processing.

About the project:

Safekeep is a business unit that focuses on automating insurance claim subrogation for auto, workers compensation, property, and general liability claims. SafeKeep 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

Responsibilities:

• Design, implement, and support scalable multi-tenant data infrastructure 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.

And you possess:

• 5+ years of industry experience 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, and Data Warehousing.
• Strong experience 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.
• Experience with performance and optimization problems.

We would love to offer you:

• Fully remote work
• Performance-based 13th salary
• Flexible benefits package
• Company Discount Club
• Employee Assistance Program
• Childbirth allowance

If you consider yourself an ambitious person who wants to join a rewarding and challenging environment, please send your CV in English. Please mind that only shortlisted candidates will be contacted.

Recruitment license from National Agency of Employment № 1931.

All applications will be treated with strict confidentiality.