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?
- 5+ years of experience working on production web apps
- Built ML models from scratch and deployed them into production environments
- Familiarity and interest in accounting, FinTech products, and/or crypto
- Hands-on experience with ML frameworks (TensorFlow, PyTorch)
- Hands-on experience with orchestration tools (Airflow, Docker, and Kubernetes)
- Experience with building and maintaining processing pipelines(Apache Spark, Airflow, or Kafka)
- A Bachelor's Degree in Computer Science or a related field or equivalent experience demonstrating your commitment to continuous learning and growth.
- Strong communication skills when interacting with tech and non-tech stakeholders
Perks and Benefits:
- The role is based in Toronto; local candidates open to coming onsite a few days a week are preferred.
- Flexibility in work arrangements, including remote opportunities.
- Competitive salary and attractive equity options to share in the venture's success.
- Full-time, Permanent position (FTE)
- Opportunities for growth and taking on exciting responsibilities.
- Exposure to cutting-edge technologies
- 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