Focus on API development at a leading firm specializing in MLFlow integration. Use your Java expertise to enhance Model Risk Management processes and collaborate across teams. This role emphasizes solid backend engineering and system architecture skills in a collaborative environment.

You will design and develop APIs for machine learning model lifecycle integrations while supporting model validation workflows. Your contributions will impact the quality and consistency of model risk management. Expect to engage with diverse teams, utilizing AI coding agents for improved productivity.

Key Responsibilities:

- Develop APIs for MLFlow and Model Review integration
- Enable seamless enterprise model lifecycle artifact integration
- Design scalable, secure Java-based APIs
- Build backend services for model validation workflows
- Collaborate with data scientists and architects Requirements:
- Strong Java development experience in enterprises
- Proficient with DB2 and/or MongoDB
- Experience designing RESTful APIs
- Familiarity with MLFlow or equivalent tools
- Background in Agile and DevOps environments Leverage your Java skills to drive impactful model risk management solutions using MLFlow.

📌 Backend Java Developer for MLFlow Integration (Montreal)
🏢 Capgemini
📍 Montreal