S&P Global

Machine Learning Engineer - New York, NY

Machine Learning Engineer in Richmond, VA

Posted 2019-11-12
Description

The Impact

The Machine Learning Engineer is an integral member of S&P Global’s AI Engineering group who partners with data scientists to design, build, deploy, and support AI-powered applications that transform S&P Global's products and operations using machine learning and related 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 engineer to make an impact.

Responsibilities

Partner with data scientists to identify, prototype, develop, deploy, and operate AI-powered applications in production settings
Manage and support the organization's cloud-based data and computing platforms and infrastructure for AI applications
Help drive the organization's initiatives and vision around data pipelines, DevOps, and cloud architecture
Work with a machine-learning-first mindset
Basic qualifications

University degree in engineering or a related field
Experience releasing and supporting a production software deployment in a cloud environment
Demonstrated expertise in some full-stack combination of:
Data Engineering
Data Science
Data Architecture
Web UI / UX
Software Engineering
Cloud Architecture
DevOps, Docker, Kubernetes
Entrepreneurial spirit
Preferred qualifications

Graduate degree in a technical field
Experience operationalizing machine learning applications in a production setting
Deep Python and or React expertise
Experience with applied machine learning tools e.g. Scikit-Learn, TensorFlow, PyTorch
Applied experience with text extraction and information retrieval
Demonstrated UI and UX expertise in delivering end-to-end intuitive web UI experiences
Fine Print

The AI Engineering group is based in Charlottesville, VA
The full application process requires completing a take-home data engineering challenge. If this sounds like a fun opportunity, you’re in the right place.
Positions are available at all levels

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Company summary

At S&P Global, we don’t give you intelligence—we give you essential intelligence. The essential intelligence you need to make decisions with conviction. Together, the divisions of S&P Global -- including S&P Global Ratings, S&P Global Market Intelligence, S&P Dow Jones Indices, and S&P Global Platts -- are the foremost providers of essential intelligence for the capital and commodities markets.

Whether it's analyzing data, innovating technology, or developing market insights, we're always looking for intellectually curious, progressive and passionate thinkers to join our team. With over 20,000 employees working across 95 offices around the globe, the diverse and vibrant community at S&P Global is unlike one you’ll find anywhere else.

Perks

401K matching; 4 weeks PTO; paternal leave; Tuition refund program; scholarship program for your children; commuter benefits; various discounts on products and services; gym membership discount.

Tech Stack

AWS, DevOps, Azure, Kubernetes, Ansible, Git, Jenkins, Python, Linux, C/C++, Java, C#, ASP.NET, Scala, RESTful APIs

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