Sr. Machine Learning Engineer

Our machine learning team specializes in working with large datasets to create cutting-edge AI capabilities that drive enterprise-wide automation opportunities. We value collaboration both within our team and across the broader Gen AI organization, fostering innovation from a blank slate approach. The team brings together Data Engineers, Data Scientists, Platform Engineers, and Solution Architects to create innovative solutions at enterprise scale using historically rich data.

• Play a part in the design and development of scalable machine learning models and algorithms to process large datasets and extract actionable insights
• Engineer end-to-end ML pipelines from data ingestion through model deployment and monitoring in production environments
• Collaborate with cross-functional teams including Data Engineers, Data Scientists, Platform Engineers, and Solution Architects to deliver enterprise-scale AI solutions
• Research and implement cutting-edge machine learning techniques and frameworks to solve complex business problems
• Automate solutions that can be deployed across the enterprise, identifying opportunities for process improvement and efficiency gains
• Work in a collaborative environment to execute innovative capabilities in an enterprise setting

(This section applies only to US candidates) S&P Global states that the anticipated base salary range for this position is $108,000 to $170,000. The final base salary will be based on the individual’s geographic location, experience level, skill set, training, licenses, and certifications.

In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please .

• Master's degree in Computer Science, Machine Learning, Data Science, or related technical field, or equivalent professional experience
• 5+ years of hands-on experience in machine learning engineering, model development, and deployment with demonstrated leadership experience
• Proficiency in machine learning frameworks and libraries such as Tensor Flow, PyTorch, Scikit-learn, or similar technologies
• Strong programming skills in languages such as Python, R, or Scala with experience in software development best practices
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for ML model deployment and scaling
• Proven leadership and mentoring abilities with strong analytical and problem-solving skills

• Experience with MLOps tools and practices such as MLflow, Kubeflow, or similar platforms for model lifecycle management
• Knowledge of big data technologies such as Spark, Hadoop, or distributed computing frameworks
• Experience with containerization and orchestration technologies such as Docker, Kubernetes, or similar platforms
• Previous experience leading cross-functional teams and driving technical strategy in collaborative environments

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S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.

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