Senior Machine Learning Engineer

What We Offer: Build breakthrough ML systems with real impact – Design and ship production generative AI platforms, multi-agent systems, and intelligent automation that will process billions in credit decisions; work on problems at the frontier of applied AI while seeing your work directly change how analysts and financial markets operate Work at the cutting edge of ML technology – Experiment with the latest LLMs and foundation models, implement novel RAG architectures, build agentic systems, fine-tune neural networks, and leverage enterprise-scale GPU clusters and cloud infrastructure; substantial conference and training budgets to stay at the forefront Technical leadership without the bureaucracy – Lead projects, mentor junior engineers, shape technical direction, and influence architectural decisions through your expertise and results—not through management hierarchy; your ideas and code will define how we build AI systems Toronto's world-class AI ecosystem – Work in one of the world's premier AI research hubs alongside Vector Institute researchers, attend cutting-edge ML meetups and conferences, and be part of the community defining the future of applied AI and machine learning Greenfield innovation with enterprise backing – Build net-new ML systems from scratch with the freedom to experiment boldly, fail fast, and push boundaries—backed by the compute resources, research budgets, and organizational support that most startups can only dream ofSolve sophisticated ML challenges – Tackle hard problems at the intersection of NLP, document intelligence, reasoning systems, agentic workflows, and production-scale deployment; work on challenges that will expand your expertise and push your technical boundaries Clear growth trajectory – High visibility to senior leadership, mentorship from experienced ML architects, and clear paths to Lead ML Engineer or Principal ML Engineer roles; build a reputation as a go-to expert in generative AI and financial technology We'll Count on You To: Design and build transformative ML systems – Lead the development of advanced generative AI solutions, agentic workflows, RAG architectures, and intelligent platforms using PyTorch, modern ML frameworks, and large language models; write production-quality code that scales and performs Drive AI innovation through hands-on technical work – Experiment with frontier models, implement novel ML architectures, evaluate emerging AI technologies, build proofs-of-concept, and translate cutting-edge research into production capabilities that deliver real business value Lead projects and drive technical excellence – Take ownership of significant ML initiatives from design through deployment; make architectural decisions, establish coding standards, implement robust CI/CD for ML systems, and ensure solutions are both innovative and reliable Mentor and elevate junior engineers – Provide technical guidance, conduct code reviews, share ML best practices, and help junior team members grow their skills; foster a culture of learning, experimentation, and technical excellence Build production ML infrastructure – Develop scalable APIs (FastAPI, etc.) for model deployment, implement MLOps pipelines, leverage cloud platforms (AWS/Azure) to optimize AI infrastructure, and use orchestration tools (Airflow) for complex ML workflows Champion ML governance and operational excellence – Ensure adherence to AI/ML governance guidelines, monitor model performance and SLAs, optimize systems for reliability and cost-effectiveness, and implement best practices for production ML systems Collaborate across teams effectively – Partner with product squads, business stakeholders, and cross-functional teams to integrate ML solutions into flagship products and workflows; translate complex ML concepts for diverse audiences; and ensure seamless transitions from prototype to production Stay at the bleeding edge – Continuously explore emerging ML technologies, attend conferences, contribute insights from research, and bring innovative approaches back to the team; help shape our technical strategy through your expertise and experimentation What You Need to Have: Strong ML engineering expertise – 6+ years of professional experience building production AI/ML systems, with demonstrated ability to deliver advanced generative AI and ML solutions from concept through deployment Advanced generative AI and LLM experience – Extensive hands-on experience developing and integrating generative AI solutions, working with large language models, building agentic workflows, implementing RAG architectures, and integrating AI capabilities into existing products and systems Deep ML technical skills – Strong proficiency in Python and ML algorithms ranging from classical techniques to deep learning; proven experience training, fine-tuning, and deploying neural network models using PyTorch with focus on performance optimization and scalability Bachelor's degree in Machine Learning, Computer Science, Data Science, Applied Mathematics, or related field (Master's or PhD is strongly preferred) Production ML engineering excellence – Strong understanding of MLOps, containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure including Bedrock, SageMaker, Azure AI Search), workflow orchestration (Airflow), and API development for ML systems Software development fundamentals – Deep understanding of automated testing, source version control, code optimization, software architecture, and building scalable, maintainable systems Technical leadership through influence – Track record of leading project initiatives, mentoring team members, shaping technical strategy without direct management, and driving innovation in fast-paced environments Outstanding collaboration and communication – Ability to work effectively with technical and non-technical stakeholders, translate complex ML concepts for diverse audiences, and foster alignment across distributed cross-functional teams What Would Make You Stand Out: Cutting-edge AI implementation experience – Track record of taking breakthrough AI capabilities from research/prototype to production-scale deployment; experience supporting seamless transitions from experimentation to enterprise-grade ML systems Multi-agent and agentic systems expertise – Hands-on experience building sophisticated multi-agent systems, agentic workflows, tool-using AI, or complex AI orchestration platforms that demonstrate advanced reasoning and autonomyMLOps and cloud-native infrastructure – Advanced expertise building ML infrastructure, sophisticated MLOps pipelines, model serving platforms, and optimizing cost/performance of production LLM deployments at scale Document and content management systems experience – Experience developing or integrating ML functionality for document management systems, content platforms, or document intelligence solutions Technical thought leadership – Contributions to open source ML projects, conference presentations, published research, blog posts about practical ML applications, or active participation in the ML engineering community Financial services or analytical domain knowledge – Understanding of credit analysis workflows, regulatory requirements, financial data products, or how ML enables better financial decision-making; familiarity with ratings agencies is valuable Startup or innovation environment experience – History of building greenfield ML products, working in fast-paced AI innovation teams, or being part of early-stage initiatives where you helped shape technical direction and culture Toronto AI/ML community involvement – Active participation in Toronto's AI/ML engineering or research communities, connections to academic groups, or strong interest in contributing to Toronto's world-class AI ecosystem If you're ready to build transformative ML systems with organizational backing, cutting-edge technology, and talented colleagues—this is the moment to join us. Why Fitch? At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone. Every team member is essential to our business, and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority. We are building incredible things at Fitch and we invite you to join us on our journey. About Fitch GroupFitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by the Hearst Corporation, we are comprised of three main businesses: Fitch Ratings | Fitch Solutions | Fitch Learning. For more information please visit our websites: | | Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. FOR TORONTO ROLES ONLY: Expected base pay rates for the role will be between 150,000 CAD and 200,000 CAD. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch's total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch. #LI-Group#LI-AT#LI-Hybrid