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Remote ML Data Engineer: End-to-End Analytics & MLOps
Job summary
A leading remote work company is seeking an experienced ML Data Engineer to join their growing team in Italy. This role involves working on the entire ML lifecycle, from data analysis to model deployment, ensuring high-quality data for decision-making. The ideal candidate will have extensive experience in Python, MLOps, and data visualization, supporting impactful projects. Join a community that values growth and well-being in a remote-first environment.
Benefits
Qualifications
- 5+ years of experience in data analysis, ML analytics, or MLOps.
- 5+ years of proficiency in Python (pandas, NumPy).
- 4+ years of hands-on experience with MLOps tooling.
- 4+ years of familiarity with LLM concepts and evaluation methods.
- 2+ years of experience with Power BI and Excel.
Responsibilities
- Conduct hypothesis-led analysis on large datasets.
- Build and maintain benchmark datasets for analytics.
- Develop Power BI dashboards for actionable insights.
- Own ML performance monitoring and model evaluation.
- Run client-specific analytics projects.
Skills
Education
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.