Senior AI/ML Engineer - Practice Leader (Remote / Canada)

at  Aequilibrium Software Inc

We are looking for a highly skilled Senior AI/ML Engineer & Practice Leader with a strong data and business intelligence (BI) background to join our team and lead our AI practice. In this role, you will contribute to the development of innovative financial and banking applications, while guiding our organization and clients in the responsible use of AI technologies, AI governance, and AI-enhanced software development practices.
At Aequilibrium, we are a fun and agile tech company that offers a collaborative and supportive culture with lunch and learns, weekly business updates, team-bonding events, and genuine team members to work with. You’ll be a thought leader on AI and data-driven solutions, helping to shape our AI strategy while leading AI/ML development efforts. You’ll be joining a talented team focused on delivering cutting-edge solutions in FinTech and beyond.

EDUCATION

• Bachelor’s Degree in Computer Science, Software Engineering, or a related field.

• Lead the AI practice, providing guidance on AI governance frameworks, usage policies, and best practices for AI implementation.
• Act as a thought leader on AI and data strategy, shaping the company’s approach to AI technologies and advising clients on AI adoption.
• Develop and maintain backend services and AI-driven financial applications, such as chatbots and machine learning-powered systems.
• Design and develop scalable and secure server-side components and APIs (RESTful and GraphQL).
• Integrate AI/ML models into financial systems, focusing on performance, accuracy, and scalability.
• Leverage Microsoft Azure AI tools, including Cognitive Services, Azure Machine Learning, and integrate AI with Azure Databricks or Synapse Analytics.
• Build, train, and deploy machine learning models using AutoML and deep learning frameworks like TensorFlow or PyTorch.
• Collaborate with cross-functional teams, including designers, backend developers, and domain experts, to deliver end-to-end AI solutions.
• Preprocess and analyze financial data to extract insights and features for AI/ML model development.
• Lead efforts to improve software development processes using AI for code generation, error detection, and automated software testing.
• Stay informed about the latest advancements in AI/ML, data engineering, and financial industry trends.
• Write clean, modular, and well-documented code, and maintain a secure and scalable codebase.