Staff Software Developer

Remote - Canada Based - Full Time

About the role

Our client is transforming compliance through cutting-edge AI. Their 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.

They 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 the data science team to lead the machine learning efforts while building out the 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 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 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).
• Familiarity 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).
• Familiarity with deploying infrastructure components on AWS.
• Ability to drive project research and design, communicate and document technical ideas clearly.
• An enjoyment of new challenges, flexibility and ability to adapt to new, unforeseen situations, startup experience.
• A strong sense of pride and ownership in your work!

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.