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IT Staff Augmentation
Senior Data Science Engineer
Location
Poland
Posted
100 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Science Engineer
Bonapolia
• Lead the entire machine learning model lifecycle, from initial research and hypothesis testing to production deployment and maintenance • Translate complex business goals into well-defined Data Science problems and quantifiable metrics • Design and develop robust, scalable Machine Learning systems from scratch, including data analysis, annotation, and processing pipelines • Contribute to the overall system architecture and integrate ML models with existing backend services and infrastructure • Monitor and maintain deployed models, proactively identifying and addressing issues like concept drift to ensure consistent performance • Support the development and growth of other team members through mentorship • Drive continuous improvement by automating repetitive tasks and proposing innovative solutions that lead to significant business impact • Communicate complex technical concepts and findings clearly and concisely to both technical and non-technical stakeholders
Job Requirements
- 5+ years of professional experience in a Data Science or Machine Learning role
- Expert-level proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn)
- Deep expertise in classic machine learning and deep learning techniques
- Experience with ML system design and MLOps practices
- Proven experience with event systems, deployment environments, and maintaining production services
- Familiarity with technologies for streaming, batch, and async data processing
- Proficiency in at least one specialized ML domain, such as Computer Vision (CV) or Natural Language Processing (NLP)
- Strong understanding of software system design principles
- Experience in experimental design to validate hypotheses and measure the effectiveness of solutions
- A solid grasp of security, risk, and control concepts in a production environment
- Russian language is a must
Benefits
- Health insurance
- Professional development
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