Build scalable data platforms and machine learning workflows as a Senior Software Developer with hands-on data engineering and MLOps experience.

This senior developer creates end-to-end solutions across data pipelines, ML lifecycle practices, infrastructure, and automation. The work includes cloud or on-premise environments, production deployment, data quality, observability, and maintainable architecture. Client collaboration and mentoring are central expectations.

Key Responsibilities:

- Design and deliver data and machine learning solutions
- Plan data pipelines, ML workflows, and supporting infrastructure
- Improve architecture, testing, deployment, and data quality
- Define performance, reliability, security, and scalability requirements
- Advise clients on architecture and ML solution design

Requirements:

- 5+ years of software development experience
- Hands-on data engineering, MLOps, or production ML experience
- Experience supporting data platforms or ML deployment workflows
- Client or stakeholder collaboration experience
- Bachelor’s degree, college degree, certification, or equivalent experience

Bring data pipeline design, ML lifecycle knowledge, and architectural judgment to client-focused software delivery.

📌 Senior Data Engineering MLOps Developer (Montreal)
🏢 Osedea
📍 Montreal