Minimum of 5 years of experience with a bachelor’s degree; or 3 years and a Master’s degree; or a PhD with relevant hands-on experience using data science techniques, including statistical analysis, mathematical optimization, machine learning, deep learning, or reinforcement learning. Apply a variet...
Are you a strategic visionary in the realm of technology, eager to lead the charge in crafting cutting-edge solutions that exceed expectations? SAIC is in search of an Artificial Intelligence/Machine Learning (AI/ML) Solutions Architect to join our esteemed Enterprise Solution Architect team. ...
Staff Machine Learning Engineer. Key Responsibilities:Develop and deploy AI models integral to financial products and servicesLead initiatives to create efficient financial solutions using cutting-edge AIDrive innovation and build models to save customers time and effortRequired Qualifications:Advan...
Additionally, you should demonstrate a strong desire to continue learning, make an impact, and play a crucial role in expanding our AI/ML expertise. ...
A company is looking for a Data Scientist....
Our Machine Learning Engineer must be able to dig into large structured and unstructured data sets using statistical & research methods, machine learning, and subject matter expertise to find insights and solve often poorly or loosely defined problems. Government and Public Sector - AI and Data - Ma...
A company is looking for a Senior Data Scientist - Machine Learning. ...
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. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability an...
Artificial Intelligence Machine Learning Architect. ...
Machine Learning Engineer III page is loaded. These development efforts will require a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including but not limited to computer vision, machine learning, optimization, deep convolutional neural netw...
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. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability an...
Machine Learning Engineer II page is loaded. These development efforts will require a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including computer vision, machine learning, optimization, deep convolutional neural networks, and visual tra...
Experience with Machine Learning cloud technologies such as Azure Machine Learning (AML), AWS SageMaker or Spark ML. Design, build, test and maintain the Machine Learning platform supporting Data Science initiatives. Experience with end-to-end Machine Learning Engineering lifecycle. Experience with ...
As a Machine Learning Engineer you will help ensure today is safe and tomorrow is smarter. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACTOwn your opportun...
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. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and pe...
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated toproductionizing machine learning applications and systems at scale. You’llfocus on machine learning architectural design, develop and review model and application code,and ensure high availability and perfo...
Artificial Intelligence Machine Learning Architect. ...
These development efforts will require a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including but not limited to computer vision, machine learning, optimization, deep convolutional neural networks, and visual tracking. Support development...
Center 1 (19052), United States of America, McLean, VirginiaManager, Product Management, Machine Learning tools. Machine learning is at the heart of our approach. Our teams provide millions of customers with individualized, real-time experiences, protection, and decisions driven by machine learning ...
Our Machine Learning Engineer must be able to dig into large structured and unstructured data sets using statistical & research methods, machine learning, and subject matter expertise to find insights and solve often poorly or loosely defined problems. This role will require a very methodical mindse...
Machine Learning: You have profound understanding of machine learning principles and have experience in applying machine learning techniques to real-world problems, showcasing a track record of successful implementations. Knowledge and Learning: You possess broad technical interests along with a dee...
Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to improve operationalization in scalable and resilient production systems that serve 50+ million customers. ...
What You’ll Do: As a Senior Applied Machine Learning Scientist, you will be responsible for supporting Data Science Engineering efforts that range from generative AI and machine learning application development and deployment to model development and monitoring, ML management and DevOps. As a Senior...
Machine Learning Engineer, Senior. Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning (ML), and artificial intelligence (AI) advances? In an increasingly connected world, massive amounts of struc...
Our team has recently explored inverse reinforcement learning, adversarial machine learning, and custom hardware for scalable, high-performance machine learning in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering s...