Machine Learning Engineer

Are you seeking an exciting opportunity to work with groundbreaking, well-known Web3, Blockchain and Fortune 100 organizations?

Our client in Toronto is looking for a skilled Machine Learning Engineer to join their well-funded venture (USD 8.5M raised), focused on tackling unique treasury, accounting, and asset management challenges. They have processed over $100B in transactions in the last year!

About the Role :

As a Machine Learning Engineer, you will be at the forefront of innovation, collaborating with a dynamic team to shape the product vision and build AI products relating to finance and crypto.

We seek individuals with an entrepreneurial spirit, genuine enthusiasm for Web3 and Blockchain, and a passion for mastering web technologies and techniques. Your expertise will play a vital role in solving complex problems and driving the evolution of their products.

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-tuning 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 the on-chain transactions our customers must later reconcile.
• Automating 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.
• Implementing monitoring solutions to track model performance metrics, detect drift, and trigger re-training to maintain prediction accuracy and reliability.
• Working with the Platform Engineering team, improving the state of the company's architecture to unlock faster training and deployment cycles.
• Collaborating with the full-stack engineering team to ensure seamless integration of ETL processes, data warehousing, and streaming to facilitate efficient model training and evaluation.

Does this sound like you?

Perks and Benefits :

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Machine Learning Engineer

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