Staff Machine Learning Engineer

In this role you will lead design, delivery and governance of production AI/ML solutions across Fitch Group. You will set technical direction, mentor engineers, and collaborate with product squads and stakeholders to integrate AI into flagship products. You will work on scalable generative AI frameworks and enterprise data workflows, leveraging cloud and orchestration tools. This is a high-visibility opportunity to shape AI strategy and impact across financial data products while upholding governance and reliability standards.

• Hybrid Work Environment
• Learning and mobility culture
• Retirement planning and financial wellness
• Tuition reimbursement
• Healthcare offerings
• Parental leave and family-friendly policies

• Oversee design, development, and deployment of scalable AI/ML solutions with a focus on generative AI and agentic workflows
• Mentor junior engineers and guide coding practices, architectural design, and project execution
• Drive projects and integrate AI/ML into existing workflows through collaboration with product squads and business stakeholders
• Build production-quality software in Python and manage large-scale data workflows using orchestration tools
• Apply cloud expertise (AWS and Azure) to optimize AI infrastructure
• Champion ML governance, monitor SLAs, and improve AI performance and reliability
• Translate complex AI concepts for technical and non-technical audiences to align teams
• Design and develop APIs for ML model integration and deployment

• 8+ years of production-grade AI/ML engineering experience
• Experience with agentic AI workflows, including tool integration, failure handling, cost controls, and monitoring
• Proven track record deploying Gen AI and ML solutions into products/systems
• Strong ML knowledge from classical to deep learning
• Experience designing, deploying, and operating scalable AI/ML systems in cloud environments; containerization and orchestration (Docker, Kubernetes, AWS EKS)
• Ability to translate business requirements into technical strategy
• Deep Python expertise and solid software engineering fundamentals
• Ability to influence technical direction across product, engineering, and business teams
• Bachelor’s degree in related field; Master’s or higher strongly preferred

• leadership and mentorship
• cross-functional collaboration
• effective communication
• Generative AI
• Agentic AI workflows
• Gen AI and ML integration