Analytics • Credit ratings • Finance • Energy & commodities information • Intelligence
10,000+
November 4
Analytics • Credit ratings • Finance • Energy & commodities information • Intelligence
10,000+
• Contribute to the deployment, monitoring, and management of machine learning models and data pipelines. • Work with ML engineers to develop ML modules and engineering solutions. • Ensure the seamless deployment, monitoring, and management of machine learning models and data pipelines. • Collaborate with cross-functional teams to integrate machine learning models into production systems. • Fine Tune and Optimize Models: Adjust and refine generative AI models to enhance performance.
• 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. • 2-3 years of experience with operationalizing data-driven pipelines for large scale batch and stream processing analytics solutions. • Experience with contributing to open-source initiatives or in research projects and/or participation in Kaggle competitions. • 6-12 months of experience working with RAG pipelines, prompt engineering and/or Generative AI use cases.
• 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 NowNovember 4
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