Remote l Canada Based l Full Time
About the role
At Minerva, we’re transforming compliance through cutting-edge AI. Our platform automates anti-money laundering (AML) screening and investigations, enabling financial institutions and fintechs to streamline their workflows, reduce false positives, and focus on what truly matters - mitigating risk.
We are seeking a Staff Software Developer with experience supporting machine learning (ML) initiatives, including end-to-end deployment of ML models, data curation, ongoing maintenance, feedback integration, model risk management, platform deployment, application integrations, and data engineering initiatives including data infrastructure and pipeline development.
What you will do:
As a Staff Software Developer with experience in ML, AI, and data engineering, you will work closely with our data science team to lead our machine learning efforts while building out our data acquisition and data management systems. This role requires a strong software engineering background and hands-on experience in leveraging ML/AI to solve complex business problems in a startup environment.
Key Responsibilities
- Act as a technical lead and provide technical direction on ML and data engineering projects.
- Collaborate with cross-functional teams to ensure alignment between business goals and technological advancements.
- Establish processes, standards, and best practices to optimize our 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 break-down, 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.
What we’re looking for:
- 10+ years of experience in software engineering with substantial exposure to both ML and data engineering domains.
- Solid CS fundamentals, experience in Python, Go, 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.
- Competent in ML concepts, and familiar with data science tools (PyTorch).