S&P Global Director, Machine Learning Engineering in Charlottesville, Virginia
Director, Machine Learning Engineering
Charlottesville, VA or Richmond, VA
The Director of Machine Learning Engineering is the leader of S&P Global Market Intelligence's Machine Learning Engineering group. The Machine Learning Engineering group partners with our Data Science group to design, build, deploy, and support data-driven applications that transform S&P Global's products and operations using machine learning and related advanced analytics techniques. Our machine learning engineers take a modern, full-stack approach to prototyping, developing, deploying, and operating advanced analytics applications and infrastructure in production environments. Working in an organization for which data is the primary raw material, finished product, and core asset provides an unusually rich environment for a machine learning engineering leader to make an impact.
Recruit and lead a group of high-performing machine learning engineers
Partner with the Data Science group to identify, prototype, develop, deploy, and operate machine learning applications in production settings
Manage and support the organization's cloud-based data and computing platforms and infrastructure for advanced analytics applications
Help drive the organization's technology strategy and initiatives around topics such as data pipelines, DevOps, and cloud infrastructure and architecture
Bachelor's degree in a technical, engineering, or related field
5 years experience in a data engineering, data architecture, data product development, or related role
Expertise in building and supporting data pipelines and platforms based on SQL, NoSQL, distributed, streaming, and - or graph data technologies
Expertise developing, deploying, and orchestrating containerized applications using technologies such as Docker, Kubernetes, and - or Docker Swarm
Expertise working in cloud-based architecture, such as AWS, Azure, and - or Google Cloud Platform
Familiarity with data science techniques such as machine learning, natural language processing, statistical data analysis, and data visualization
Demonstrated success leading a group of data engineers or related IT development professionals
Adept at communicating and managing diverse groups of technical and non-technical stakeholders to drive change in an organization
Graduate degree in a technical, engineering, or related field
Experience with applied machine learning tools such as scikit-learn, TensorFlow, PyTorch, SparkML, or similar
Experience with operationalizing machine learning applications in a production setting
S&P Global Market Intelligence is a division of S&P Global (NYSE:
SPGI), which provides essential intelligence for individuals, companies and governments to make decisions with confidence. For more information, visit, S&P Global Market Intelligence.
S&P Global is an equal opportunity employer committed to making all employment decisions on the basis of merit, capability and equality of opportunity, and without regard to race - ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or any other basis prohibited by federal, state or local law, or any other characteristic that has no bearing on a person s ability to perform his or her job.
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EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.