S&P Global-posted 21 days ago
$108,000 - $170,000/Yr
Full-time • Mid Level
New York, NY
5,001-10,000 employees
Administrative and Support Services

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 an innovative capabilities in an enterprise setting
  • 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
  • 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
  • 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.
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