ML Engineer

Project description

Location: Remote

Employment Type: Contract, Full-time

Duration: 3 months, starting ASAP

Working Schedule: Close to EST

Industry: Banking / Financial Services, Canada

We are looking for an experienced ML Engineer to join a Canadian banking project focused on building a production-grade MCP (Model Context Protocol) server.

The ideal candidate has strong Python and Machine Learning / AI experience, along with hands-on expertise in MCP, Databricks, and Azure. Experience with AWS is a plus.

Responsibilities

• Design and develop a production-grade MCP server
• Build and integrate ML/AI capabilities using Python
• Work with Databricks for data and ML workflows
• Develop and deploy solutions within Azure
• Integrate MCP with cloud services, data sources, and external systems
• Ensure scalability, reliability, security, and maintainability of the solution
• Follow best practices for testing, deployment, and production readiness
• Collaborate closely with the client's technical and engineering teams

Requirements

Location: Remote Anywhere

• Strong experience in Machine Learning / AI
• Strong Python development skills
• Hands-on experience with MCP (Model Context Protocol)
• Experience building, integrating, or working with MCP servers
• Experience with Databricks
• Strong knowledge of Microsoft Azure
• Experience developing production-grade applications and services
• Good understanding of software engineering best practices, APIs, testing, and deployment
• Ability to work independently and effectively in a fast-paced environment
• English: Fluent

Would be a plus

• Experience with AWS
• Experience with LLM / GenAI solutions
• Experience with RAG, AI agents, or LLM integrations
• Experience with cloud-based ML platforms and infrastructure
• Experience taking AI/ML solutions from prototype to production
• Experience in banking or financial services