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Middle Data Science Engineer @Bonapolia

[Hiring] Middle Data Science Engineer @Bonapolia

2d ago - Bonapolia is hiring a remote Middle Data Science Engineer. πŸ’Έ Salary: unspecified πŸ“Location: Germany, France, India, Brazil, Australia, Estonia, Japan, Portugal, Poland, Equatorial Guinea

Role Description

A global mobility and urban services platform that enables users to book rides and services while negotiating fares directly with service providers. The platform offers ride-hailing, intercity travel, delivery, and task assistance, operating across multiple cities in many countries.

Qualifications

  • 3+ years of experience in the field with prior software engineering background
  • Strong proficiency in Python and data processing frameworks for streaming, batch, and asynchronous systems
  • Solid foundation in classical Machine Learning, deep learning, and advanced mathematics
  • Experience with MLOps tools and ML lifecycle management
  • Backend systems and infrastructure experience with willingness to learn additional languages such as Golang
  • Ability to design systems using standard design patterns and architectural tools
  • Experience in experiment design and validation of data and results credibility
  • Understanding of business value delivery in technical solutions
  • Strong problem-solving skills with analytical reasoning
  • Excellent communication and collaboration abilities with stakeholder alignment skills
  • Commitment to continuous self-development and knowledge sharing
  • Russian language is a must

Requirements

  • Proactive mindset with strong initiative and ability to independently identify stakeholders and execution paths
  • Stakeholder management across technical and product teams
  • Curiosity and continuous improvement orientation
  • Strong communication skills for cross-functional collaboration
  • Effective time management and organizational reliability

Responsibilities and Tasks

  • Develop, deploy, and maintain Machine Learning models and systems
  • Perform data analysis, preparation, and processing for ML workflows
  • Contribute to ML system design, including data annotation and processing pipelines
  • Follow security guidelines and identify potential risks in solutions
  • Collaborate on design reviews to ensure robustness and reusability
  • Support engineering delivery processes and resolve issues
  • Ensure correct deployment and stable operation of features
  • Create and maintain documentation for ML models and processes
  • Monitor deployed solutions and ensure performance standards are met
  • Promote reuse of internal technologies and solutions

Technology Stack

  • Python for streaming, batch, and asynchronous data
  • MLOps tools

Benefits

  • Full-time employment
  • Working time zone: CET
  • Start: ASAP
  • Planned work duration: 6 months

Ready to Join?

We look forward to receiving your application and welcoming you to our team!

Before You Apply
️
remote Be aware of the location restriction for this remote position: Germany, France, India, Brazil, Australia, Estonia, Japan, Portugal, Poland, Equatorial Guinea
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remote Be aware of the location restriction for this remote position: Germany, France, India, Brazil, Australia, Estonia, Japan, Portugal, Poland, Equatorial Guinea
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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