Machine Learning Engineer Jobs in Petersburg, VA (318)
Lead Software Engineer, Full Stack
Lead, Software Engineer (Backend) Java/AWS
Lead Software Engineer
Lead Software Engineer, Back End (Java, Spark) (Enterprise Platforms Technology)
Senior Lead Software Engineer
Senior Manager, Software Engineer
Lead Software Engineer, Fullstack
Senior Manager, Software Engineer, Back End
Senior Machine Learning Engineer (Enterprise Platforms Technology)
Lead Machine Learning Engineer
Senior Machine Learning Engineer
Lead Machine Learning Engineer, Shopping - Feed (Remote)
Distinguished Engineer - Machine Learning Engineer - Consumer Engagement Platform (Remote Eligible)
Senior Software Engineer
Senior Software Engineer, Full Stack
Senior Lead Software Engineer, Full Stack
Lead Software Engineer, DevOps (Enterprise Platforms Technology)
Senior Lead Software Engineer, Distributed Systems
Distinguished Applied Researcher
Applied Researcher I
Manager Data Science
Senior Manager, Data Science - Credit Model Review
Senior Lead AI Engineer
Distinguished Data Engineer - Card Technology
Senior Software Engineer, DevOps
Manager Data Science
Senior Manager, Data Science - Credit Model Review
VDOT Data Scientist 4
Principal Associate, Data Scientist, Model Risk Office
Principal Associate, Data Scientist - Mainstreet Card
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineer
AI & GenAI Data Scientist - Manager
Senior Machine Learning Engineer (Enterprise Platforms Technology)
Job Description
Working as a Machine Learning Engineer in Petersburg, VA
There are 318 Machine Learning Engineer opportunities available in Petersburg, VA all with unique requirements.
Machine Learning Engineers use automation and algorithms to optimize operations, maximize the efficiency of business processes. Responsibilities include designing, developing, and implementing systems using machine learning models such as neural networks, Bayesian networks, decision trees, support vector machines, and Hidden Markov Models. They use their programming skills to introduce logic into decision-making processes. These systems are used to improve manufacturing output; product development processes; logistical processes; communications; fraud detection; loan underwriting; credit risk prediction; medical diagnosis and treatment selection; security screening of subjects such as prisoners or immigrants seeking access to sensitive areas such as airports or courtrooms.
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