JAVA Developer

Description du poste

Senior Java Developer Montreal – API, MLFlow & Model Risk Management Integration

Role Overview:
The role is focusing on analysis, design, and development of APIs to support MLFlow integration with the Model Review process and MRM Validation Studio. The position is requiring strong backend engineering skills, solid understanding of system and data architecture, and close alignment with Model Risk Management (MRM) and model validation stakeholders.
The candidate is actively collaborating across technology, model risk, data science, and governance teams while leveraging AI coding agents to accelerate delivery, quality, and consistency.

Responsabilités clés

• Performing analysis, design, and development of APIs to support MLFlow integration with the Model Review process and MRM Validation Studio
• Enabling seamless integration between MLFlow model lifecycle artifacts (models, runs, metadata, metrics) and enterprise MRM platforms
• Designing and developing scalable, secure, and high-performance Java-based APIs
• Building backend services that support model onboarding, validation workflows, auditability, and governance
• Designing and managing data models aligned to MRM, regulatory, and operational requirements
• Working with DB and/or MongoDB, ensuring data quality, lineage, and traceability
• Ensuring API designs are aligning with enterprise architecture, security, and compliance standards
• Collaborating closely with data scientists, model validators, risk managers, architects, QA, and DevOps teams
• Participating in design sessions, architecture reviews, and code reviews
• Supporting the full SDLC including development, testing, deployment, and production support
• Leveraging AI coding agents to improve productivity, accelerate development, generate tests, and enhance documentation
• Continuously enhancing API reliability, performance, monitoring, and error-handling mechanisms

Compétences techniques requises

• Strong experience in Java application development in enterprise environments
• Hands-on experience with DB and/or MongoDB
• Strong experience designing and developing RESTful APIs
• Solid understanding of system architecture, data models, and integration patterns
• Experience integrating platforms with MLFlow or similar model lifecycle management tools
• Experience working in Agile / DevOps environments
• Model Risk Management & ML Platform Knowledge
• Demonstrating a good understanding of Model Risk Management (MRM) concepts, including model lifecycle, validation, governance, and regulatory expectations
• Experience supporting model review, model validation, or risk management workflows
• Familiarity with MLFlow concepts, including model registration, experiment tracking, and metadata management, is strongly desired
• Prior experience in banking or financial services risk environments is a strong plus
• AI Coding & Productivity (Must-Have Requirement)
• Actively using AI coding agents, including:
• GitHub Copilot
• AMP
• Claude Code
• Demonstrating hands-on experience using AI tools for:
• Code generation and refactoring
• Test generation
• Documentation and productivity enhancement
• Practicing responsible and secure usage of AI-assisted development tools

Compétences relationnelles & collaboration

• Demonstrating excellent written and verbal communication skills
• Actively collaborating across cross-functional teams
• Clearly articulating technical concepts to both technical and non-technical stakeholders
• Taking ownership and working proactively in a fast-paced, regulated delivery environment