Staff Machine Learning Engineer

As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst.   Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a Best Place to Work in Technology 3 years in a row. Whether you're an experienced professional or just starting your career,

we offer
an exciting and supportive environment where you can grow, innovate, and make a difference.   Want to learn more about a career in technology and data at Fitch? Visit:    Staff Machine Learning EngineerThe Fitch Group’s AI Implementation Team is seeking a Staff Machine Learning Engineer with 6+ years of experience to lead the design and delivery of production AI/ML solutions across Fitch Group. You will set technical direction, lead complex initiatives, and collaborate with product squads, business partners, and cross-functional teams to integrate advanced AI capabilities into flagship products and workflows.
The AI Implementation Team focuses on:Implementing AI/ML technology in collaboration with business partners and product squadsDeveloping and supporting enterprise-level AI exploration tools and capabilitiesProviding guidance for efficient and secure development and deployment of AIWhat

We Offer
A high-impact role with significant visibility on flagship Fitch Ratings products and workflowsAn excellent opportunity to work on cutting-edge areas of machine learning and AIAn excellent work culture that values mentorship, continuous learning, and work-life balanceWhat You'll Do:Oversee the design, development, and deployment of scalable AI/ML solutions, focusing on advanced generative AI frameworks and agentic workflowsMentor junior engineers and provide technical guidance on coding practices, architectural design, and project execution.
Drive projects and strategic initiatives, ensuring the integration of AI/ML solutions into existing workflows by collaborating with product squads and business stakeholdersDevelop robust, production-quality software in Python and build large-scale data workflows using orchestration platforms such as Airflow, while driving technical execution across complex initiatives.
Use expertise in cloud computing (AWS and Azure) to build and optimize AI infrastructureChampion ML governance, ensuring adherence to guidelines, monitoring SLAs, and enhancing AI solutions’ performance and reliabilityTranslate complex AI & ML concepts for technical and non-technical audiences, fostering alignment across teamsDesign and develop APIs for integration and deployment of ML models and solutionsWhat You Need to Have:8+ years of professional experience as an AI or ML engineer, with a strong record of delivering production grade enterprise solutions.
Experience building and operating agentic AI workflows, including tool integration, failure handling, cost controls, runaway-loop detection, and production monitoring and observability.
Extensive experience developing and integrating Gen AI and ML solutions into existing products and systems.
Strong knowledge of ML algorithms, from classical techniques to deep learning methods.
Experience designing, deploying, and operating scalable AI/ML systems in cloud environments, with expertise in containerization and orchestration technologies such as Docker, Kubernetes, and AWS EKS.
Ability to translate business requirements into technical strategy and execution.
Deep expertise in Python and strong software engineering fundamentals, including automated testing, version control, performance optimization, and maintainable code.
Ability to influence technical direction and align engineering decisions with business needs across product, engineering, and business teams.
Bachelor’s degree in machine learning, computer science, data science, applied mathematics, or a related field (Master’s or higher is strongly preferred).
What Will Set You Apart:A track record of leading complex technical initiatives and shaping technical strategy through influenc