Job Information
Moody's Analytics, Inc. Assistant Director - Machine Learning Engineer in King Of Prussia, Pennsylvania
Employer: Moody's Analytics, Inc.
Title: Assistant Director - Machine Learning Engineer
Location: 211 South Gulph Road, King of Prussia, PA 19406, USA
Duties: Develop, deploy, and maintain complex machine learning and AI-driven processes used within business-critical SaaS products. Work with data scientists and data engineers to setup automation around scalable training, updating, and inference pipelines of AI models. Deal with a variety of data formats ranging from tabular data to unstructured formats, such as text and media files. Work with specialized machine learning and MLOps tooling. Work with specialized AI techniques, such as model distillation and other research-oriented methods of model compression. Develop and implement automated workflows for machine learning model training, updating and inferencing processes using MLOps tooling, such as MLflow Recipes, Kubeflow or custom solutions. Create and maintain RESTful APIs to expose machine learning functionalities as services within business-critical SaaS products. Deploy AI models to a production environment using model serving frameworks or platforms. Set up model monitoring functionality to continuously track and evaluate performance of machine learning models and data drift once they have been deployed into production. Implement robust logging mechanisms to log model metadata (versions, type, and related), input (features and data version), output (predictions and explainability), and capture any errors or anomalies. Collaborate closely with data scientists, data engineers, and stakeholders in an agile development environment.
Requirements: Requires a Master's degree or foreign equivalent in Computer Science, Computer Engineering, or a closely related technical field plus at least two (2) years of experience as a Software Engineer, Database Analyst, or in a related IT position developing and deploying data and algorithm-driven software products. Full term of experience must include the following: working with programming languages, including Python, Java, R, and Scala; working with ML tools, including Spark, Hadoop, AWS, Keras, PyTorch, NLTK, Numpy, and Scikit Learn; using MLOps tooling, including MLFlow and TorchServe; and working on advanced AI/ML tasks ranging from deep learning-based NLP work (sentiment analysis and related) to tabular data analysis (ensemble models, statistical evaluation, and related).
For US-based roles only: the anticipated hiring base salary range for this position is $89,752 - $162,550, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody's also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.
To apply, please submit resume through careers.moodys.com, via e-mail at hrbox28@moodys.com, or by mail to: Moody's Analytics, Inc., Attn: HR Box 28, 7 World Trade Center, 250 Greenwich Street, New York, NY 10007. Please refer to Job Ref. 4933.