Machine Learning Engineer
Core
Design, develop, and deploy machine learning models for predictive analytics, fraud detection, transaction classification, and risk management in crypto finance.
Role type
Machine Learning Engineer
Builds
Production ML models for fraud detection, reconciliation, and risk management in crypto finance
Domain
FinTech / Crypto / Blockchain
Deliverable
production ML models
Required skills
ML model development from scratch, model fine-tuning, production deployment automation, model monitoring and drift detection, ETL pipeline integration, data warehousing, streaming data processing
Preferred skills
Knowledge of accounting principles, familiarity with FinTech products, interest in Web3 and Blockchain
Technologies
TensorFlow, PyTorch, Docker, Kubernetes, Airflow, Apache Spark, Kafka
Responsibilities
Design and deploy ML models for fraud detection and risk management; automate model deployment to production; implement monitoring solutions for model performance and drift; collaborate on architecture improvements for faster training cycles; integrate ETL and streaming processes for model training
Seniority
Mid-Senior, hands-on IC
