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Machine Learning Engineer

Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5+ years of experience in software development or data engineering, Advanced knowledge of SQL and ETL development, Strong experience with big data technologies, Knowledge of data management best practices.

Key responsabilities:

  • Design and support scalable data infrastructure solutions
  • Interface with teams to manage data ingestion and analysis
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Bica Human Resources, Staffing & Recruiting Startup https://www.bica.services/
11 - 50 Employees
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Job description

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

About the product:

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.
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:
  • 5+ years of industry experience in Software Development, Data Engineering, Business Intelligence or related field.
  • Hands-on experience and highly advanced knowledge of SQL/Non-relational, Data Modeling, ETL Development leveraging Python, Java, Scala or similar.
  • 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.
  • Ability to communicate complex technical, architectural, and organizational issues clearly.
  • Experience with performance and optimization problems.
What's in it for you:
  • Fully remote work.
  • Performance-based 13th salary.
  • Flexible benefits package.
  • Company Discount Club.
  • Employee Assistance Program.
  • Childbirth allowance.


Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication

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