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production python gcp machine learning fraud preventionπ Description
- Deliver end-to-end ML models from discovery to production.
- Collaborate with product/engineering/data science on fraud solutions.
- Provide hands-on technical leadership and knowledge sharing.
- Advance ML and payer fraud prevention on the GCP stack.
π― Requirements
- Degree in STEM or equivalent experience.
- Production-grade deployments of predictive models.
- Translate ML concepts to non-technical stakeholders.
- Production-grade coding and peer reviews.
- Full ML lifecycle: feature engineering to live testing.
- Experience with GCP/Vertex AI.
π Benefits
- Base salary: β¬43,200ββ¬64,800 (EUR).
- Wellbeing: medical cover.
- Work Away Scheme: up to 90 days/year.
- Hybrid Working: flexible in-office days.
- Equity for permanent employees.
- Parental leave and wellness days.
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