Analytics • Credit ratings • Finance • Energy & commodities information • Intelligence
10,000+
October 16
Analytics • Credit ratings • Finance • Energy & commodities information • Intelligence
10,000+
• Architect, develop and manage machine learning model development and deployment lifecycle to launch GenAI and ML services end to end. • Work on large-scale stateful and stateless distributed systems, including infrastructure, data ingestion platforms, SQL and no-SQL databases, microservices, orchestration services and more. • Collaborate with cross-functional teams to integrate machine learning models into production systems. • Create and manage Documentation and knowledge base, including development best practices, MLOps/LLMOps processes and procedures. • Work closely with members of technology teams in the development, and implementation of Enterprise AI platform. • Fine Tune and Optimize Models: Adjust and refine generative AI models to enhance performance, adapt to new data, or meet specific use case requirements.
• 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 NowOctober 16
10,000+
Lead ML Engineer for S&P Global's AI-driven transformation and deployment of models.
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10,000+
Designs and implements lead generation strategies for ConceiveAbilities' programs.
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201 - 500
Lead Generation Specialist responsible for prospecting and managing leads.
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10,000+
Lead ML Engineer for deploying and managing machine learning models at S&P Global.
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