Machine Learning Engineer Salary in Philadelphia, Pennsylvania

Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutionsCreating Scalable Machine Learning systems that are highly performantBuilding reusable production data pipelines for implemented machine learning modelsWriting production-quality code and libraries that can be packaged as containers, installed and deployedYou will collaborate with cros

Locations: NY - New York, United States of America, New York, New York Senior Machine Learning Engineer Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. Youll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Youll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What youll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more

Center 1 (19052), United States of America, McLean, Virginia Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. Youll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Youll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What youll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deli

77 West Wacker Dr (35012), United States of America, Chicago, Illinois Senior Machine Learning Engineer (Python) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. Youll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Youll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What youll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Desig

Machine Learning Engineer Philadelphia, PA Hybrid(3 days onsite) Contract to hire The largest health insurer in Philadelphia is seeking a machine learning (ML) operations Engineer to collaborate with our Data Scientists to refine and optimize our ML production pipelines to deliver high-quality, high-value solutions to business stakeholders. The ML Operations Engineer will evaluate and enhance our existing development and deployment processes with near real-time data and automate model performance tracking. Responsibilities: Work with Data Scientists to seamlessly connect the gap from development to production for our ML and NLP models under the constraints of scalability, correctness, maintainability, and efficiency Develop scripts and processes to optimize and automate ML and NLP models in production within Google Cloud and bring subject matter expertise about data storage and object-oriented programming Ensure appropriate hardware resources are selected to run models with the require

Urban Outfitters, Inc. (“URBN”), is a leading lifestyle products and services company which operates a portfolio of global consumer brands comprised of Anthropologie, Free People, Urban Outfitters and Nuuly brands. Urban Outfitters, Inc., is a Fortune 1000 company with $4 Billion in revenue. Title: URBN Machine Learning Engineer Reports to: Sr. Manager, ML Engineering Overview: The URBN Data Science organization is responsible for building, deploying, and maintaining Machine Learning systems to support the URBN brands. Our expertise spans project management, machine learning, software engineering, data engineering, and analytics. Our team is a full-service Machine Learning solution provider, taking projects from ideation and requirements through deployment of production services. We work closely with the Engineering teams on a wide range of projects including an in-house personalization system, demand forecasting, dynamic pricing, and logistics optimization. Responsibilities: As a Mach