Sr. MLE

S&P Global • New York, NY

7d • $108,000 - $170,000

About The Position

About the Role: Grade Level (for internal use): 10 Sr. Machine Learning Engineer The Team: 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.

Requirements

• 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 TensorFlow, 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

Nice To Haves

• 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

Responsibilities

• 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 an innovative capabilities in an enterprise setting

Benefits

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees