Machine Learning Engineer, Associate Director

Overview

In this role you lead the design and delivery of next-generation ML systems for Fitch's AI initiative. You will shape foundational AI architectures, work across product and engineering to deploy scalable solutions, and mentor peers while remaining hands-on. You’ll champion agentic AI, multi-agent orchestration, and production-grade platforms that impact credit analysis and financial markets. This is a mission-driven, high-impact opportunity with executive backing and a path toward senior technical leadership.

Responsibilities

• Define and architect net-new ML systems and AI platforms at scale
• Lead exploration and productionization of generative AI, multi-agent workflows, and RAG architectures
• Set ML engineering standards, governance, and deployment patterns
• Mentor engineers and partner with product and cross-functional teams to translate ideas into technical solutions
• Implement robust ML engineering practices, CI/CD for ML, and scalable APIs for model deployment
• Monitor model performance, reliability, and SLAs; optimize for business outcomes
• Engage with senior stakeholders and influence strategic decisions around AI delivery
• Shape team culture around experimentation, learning, and risk-aware innovation

Key requirements

• 12+ years in production AI/ML, strong Python and ML algorithms proficiency
• Experience designing scalable ML systems from scratch and making architectural decisions in ambiguous environments
• Hands-on generative AI expertise with LLMs, agentic systems, and RAG architectures; experience with PyTorch
• Bachelor’s degree in compatible fields
• Production ML engineering expertise: containers, cloud platforms, Airflow, API development for deployment
• Leadership in technical initiatives, mentoring, and influencing without formal authority
• Comfort with rapid change, experimentation, and translating research into production

• collaboration
• clear communication
• mentorship
• PyTorch
• large language models
• agentic systems

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