Machine Learning Engineer, Associate Director

Experteer Overview In this senior individual contributor role, you will architect and build next-generation AI systems that transform credit analysis and financial insights at Fitch. You will operate at the intersection of research and production, shaping ML governance, standards, and scalable platforms while mentoring engineers. Based in Toronto, you’ll help establish Fitch’s AI innovation center and drive high-impact, greenfield initiatives with cross-functional partners. You will work hands-on to deliver breakthrough AI capabilities that power decision-making for global markets. Compensation / Benefits * Design and architect net-new generative AI solutions and agentic workflows * Lead exploration of emerging AI technologies and translate research into production * Define ML technical vision, architecture, and engineering standards * Mentor and coach ML engineers and collaborate with product and business teams * Implement robust CI/CD, scalable APIs, and production-grade ML systems * Oversee ML governance, model performance, and reliability across distributed teams * Shape team culture and technical direction for a greenfield ML innovation environment Tasks * 12+ years of professional experience building production AI/ML systems * Strong proficiency in Python and ML frameworks; deep generative AI experience * Experience designing scalable ML architectures and deployment patterns * Hands-on with large language models, RAG, and fine-tuning neural networks (e.g., PyTorch) * Production ML engineering excellence including containers, cloud platforms, orchestration, and API development * Technical leadership, mentorship, and influence without authority * Comfort with ambiguity, experimentation, and rapid technology change * Excellent collaboration and communication with cross-functional stakeholders Key requirements *

_ Oversee ML governance, model performance, and reliability across distributed teams * Shape team culture and technical direction for a greenfield ML innovation environment Tasks * 12+ years of professional experience building production AI/ML systems * Strong proficiency in Python and ML frameworks; deep generative AI experience * Experience designing scalable ML architectures and deployment patterns * Hands-on with large language models, RAG, and fine-tuning neural networks (e.g., PyTorch) * Production ML engineering excellence including containers, cloud platforms, orchestration, and API development * Technical leadership, mentorship, and influence without authority * Comfort with ambiguity, experimentation, and rapid technology change * Excellent collaboration and communication with cross-functional stakeholders Key requirements *