Machine Learning Infrastructure Engineer
7 days ago
**Job Overview:**
S&P Global is looking for a talented Machine Learning Infrastructure Engineer to join our rapidly growing organization. As a key member of our team, you will be responsible for architecting, building, scaling, and deploying machine learning models and their associated software technology components.
- Architect and implement data pipelines, machine learning models, and software technology components using Spark, AWS, Big Data (Hadoop), Python, and PySpark.
- Collaborate with data scientists and production-oriented software engineers to improve aspects of their lines of business through machine learning.
- Develop hosting platforms for machine learning models and create pipelines to query and retrieve data for existing applications.
**Responsibilities:
- Construct machine learning lifecycle management including data collection, normalization, and standardization within a data pipeline construction.
- Architect technology components and build applications and interfaces for customer consumption.
- Experiment, develop, and productionize high-quality machine learning services and platforms to make huge technology and business impact.
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