Staff Software Engineer (ML Ops)

This company is a fast-growing risk assessment platform that's revolutionizing compliance through cutting-edge AI. They are trusted by top compliance leaders and are used by leading financial institutions like Equifax, Coinbase, KOHO, and Notch to screen millions every week. This role holds a lot of ownership and autonomy. As a Staff Software Developer , you'll make a visible impact by supporting machine learning initiatives - building out their ML pipeline and building out the data acquisitions and data management systems. Responsibilities: Lead the Machine Learning efforts while building out the data acquisition and data management systems. Act as a technical lead and provide technical direction on ML and data engineering projects. Establish processes, standards, and best practices to optimize the data capabilities. Work closely with data scientists, data engineers, and software developers to architect and build reliable, efficient, and scalable data solutions. Drive detailed project definition, RFC, POC, estimation, in addition to task breakdown, delivery, monitoring, and maintenance. Take an active role in growing the team, mentor junior engineers to develop their technical skills, and help guide the hiring strategy. Contribute to team operations and experience, cross-functional communication, and other processes that support team efficiency. Requirements: 10 years of experience in software engineering with substantial exposure to both ML and data engineering domains. Experience in Python, Go, and C++. Experience supporting ML initiatives, including end-to-end deployment of ML models, data curation, ongoing maintenance, feedback integration, model risk management, platform deployment, and application integrations. Familiar with data science tools (PyTorch). Familiar with CI/CD pipelines and DevOps practices for ML. Experience supporting data acquisition initiatives, including data infrastructure and data pipeline development. Strong understanding of data processing frameworks and data orchestration tools (Airflow, Flink, Databricks, Snowflake). Familiar with deploying infrastructure components on AWS. Perks: Competitive salary and benefits package. Flexible working hours and remote work opportunities. Opportunities for professional development and learning. A collaborative, innovative, and fun work environment. The chance to make a significant impact on the company's growth and direction. Please note that candidates must be legally eligible to work in Canada.