2+ years of education or experience in at least one technical area related to next-generation wireless communications including 5G, 6G, ORAN, and LED satellites; advanced computing, including quantum, artificial intelligence/machine learning, and high performance computing; biotechnology, including neuroscience, human DNA forensics.

Solutions Architecture certification, such as AWS CSA or Azure Solutions Architect), Cloud Machine Learning certification, such as AWS Machine Learning, Azure Data Scientist Associate, or Databricks Certified Machine Learning Professional.

Responsible for overseeing a team of data analysts and data scientists to provide analytical support through machine learning, statistical analysis, causal analysis, and modeling and simulation within the people analytics team.

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Experience with software development practices and data center / infrastructure / networking / database systems / core distributed computing concepts / fundamentals of cloud computing and virtualization / storage systems / Analytics / emerging paradigms like IoT, Machine Learning, etc.

This role is part of the team focused on deploying new and emerging capabilities to out our next generation cloud-based HR, Payroll, analytics, and machine learning platforms. Experience in waterfall and/or agile software methodologies Vendor management experience Preferred Qualifications: Graduate degree Oracle Global Human Resources Cloud Implementation certification Additional preference for Oracle certifications in any of the following cloud products: Benefits, Compensation, Payroll, Absence Management, Talent Management, Learning or Recruiting Cloud.

Leverage knowledge of latest design trends in learning strategies, instructional design, research and information gathering, content analysis, content design, including microlearning, data-driven learning, machine learning/AI.

We're developing a deep understanding of the professional world, mapping people, companies, and the information that flows between them through natural language processing and machine learning.

As an experienced software engineer or data scientist, you know that Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP), including Large Language Models (LLMs), are critical to understanding and processing massive datasets and informing humans on decision options at machine speed.

Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. At Booz Allen, we know our people are what propel us forward, and we value relationships most of all.

The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.

Quality Assurance (QA), Test and Evaluation (T&E), privacy requirements, cybersecurity, assessment of opportunities to incorporate Artificial Intelligence ("AI") and/or Machine Learning ("ML") into ODRR Test and Evaluation which may include, Predictive Analytics, Natural Language Processing (NLP) and Large Language Models (LLM), Generative AI, Training models, navigating access, compliance, privacy, and security concerns across all applicable platforms, data types, and use cases.

2 years of experience in data engineering or using machine learning to extract images. At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people.

The People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians.

Data annotation is an essential component of the artificial intelligence/machine learning (AI/ML) lifecycle and is the core of our business. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public missions and government services, including in agriculture, economic development, education, national security, public health, and transportation.