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IT Staff Augmentation
Data Engineer
Location
Poland
Posted
47 days ago
Salary
0
Seniority
Senior
Job Description
Data Engineer
Bonapolia
• 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
Job Requirements
- 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.
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
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• Own the full modeling cycle — from exploring raw data to preparing production-ready specs • Use metrics like AUC, KS, bad rate, and stability index to validate model quality • Track how models perform after launch and know when it’s time to retrain or adapt • Evaluate value through NPV, backtesting, and real-world portfolio performance • Translate insights into decisions — you’ll help evolve our credit strategy, not just build models • Contribute ideas that change how we approve, price, and manage credit — our internal tools are flexible and data-driven • Work closely with product and data to align every model with real business goals • Step in beyond your scope when needed — we value ownership over rigid roles • Every task is evaluated through the lens of business value — no "models for the drawer" here
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