September 17
• We are seeking a Lead ML Engineer to join our ML team within the Data Science COE at S&P Global. • Contribute to the deployment, monitoring, and management of machine learning models and data pipelines. • Work closely in a world-class AI ML team comprised of experts in AI ML modeling, ML engineers, and data science and data engineering teams. • You will play a pivotal role in implementing our machine learning engineering operations. • Architect, develop and manage machine learning model development and deployment lifecycle to launch GenAI and ML services end to end. • Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Bachelor's degree in Computer Science, Engineering, or a related field. • 8+ years of progressive experience as a data analytics, machine learning engineer or similar roles. • A minimum of 5 years of experience in data science, data analytics, or related field. • 5 years of relevant experience with Writing production level, scalable code with Python (or scala) MLOps/LLMOps, machine learning engineering, Big Data, or a related role. • Elasticsearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, Databricks, MLflow. • Containerization, Kubernetes, cloud platforms, CI/CD and workflow orchestration tools. • Distributed systems programming, AI/ML solutions architecture, Microservices architecture experience.
• Health care coverage designed for the mind and body. • Generous time off helps keep you energized for your time on. • Access a wealth of resources to grow your career and learn valuable new skills. • Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. • 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. • From retail discounts to referral incentive awards—small perks can make a big difference.
Apply NowJuly 21
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