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Description:
- Join the Anti-Fraud & Compliance team as a Senior MLOps Engineer to protect cross-border transactions.
- Architect high-performance systems for fraud detection and regulatory compliance.
Requirements:
- 5+ years of experience in MLOps or related field.
- Experience with ML lifecycle, model training, and deployment in production environments.
- Proficient in ML pipeline orchestration tools (e.g., Kubeflow, MLflow).
- Strong programming skills in Python and knowledge of cloud platforms (AWS, GCP, Azure).
- Familiarity with CI/CD pipelines and observability tools (Prometheus, Grafana).
- Strong communication skills (English B2+).
- Familiarity with Golang, .NET, and knowledge of fraud prevention or fintech is a plus.
Benefits:
- Remote work flexibility.
- Competitive B2B contract compensation in USD.
- Access to top-tier hardware and professional development opportunities.
- Continuous learning and career growth support.
- Coverage for training, seminars, and conferences.
Job title
Job type
Experience level
Required experience
5 years
Salary
-
Degree requirement
No degree requiredSkills
Location requirements
Benefits
-
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