Artificial Intelligence and Machine Learning Engineer
1 month ago
Our client in Toronto is seeking a skilled Machine Learning Engineer to join their well-funded venture, focused on tackling unique treasury, accounting, and asset management challenges.
Key Responsibilities:- Design, develop, and deploy machine learning models for various applications in crypto finance, such as predictive analytics, fraud detection, transaction classification, and risk management.
- Fine-tune ML models for specific use cases, such as developing heuristics that detect fraudulent transactions, enhancing reconciliation processes by analyzing historical transaction data, and providing greater explainability for on-chain transactions.
- Automate the deployment of ML models to production environments using tools and frameworks like Docker, Kubernetes, and CI/CD pipelines, ensuring high availability, low latency, and accuracy.
- Implement monitoring solutions to track model performance metrics, detect drift, and trigger re-training to maintain prediction accuracy and reliability.
- Collaborate with the Platform Engineering team to improve the state of the company's architecture and unlock faster training and deployment cycles.
- Work with the full-stack engineering team to ensure seamless integration of ETL processes, data warehousing, and streaming to facilitate efficient model training and evaluation.
- 5+ years of experience working on production web apps
- Experience with building and maintaining processing pipelines (Apache Spark, Airflow, or Kafka)
- Bachelor's Degree in Computer Science or a related field or equivalent experience demonstrating commitment to continuous learning and growth
- Full-time, Permanent position (FTE)
- Enjoy the fast-paced and dynamic environment of working at a startup, combined with the stability of a larger company
- Work alongside a world-class team from top tech companies
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