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Learning Ai Jobs in Washington (NOW HIRING)

AI Engineer

Washington, DC · Remote

$41.85/hr

AI Engineer Location: Washington, DC (Remote) Type: Contract Compensation: $41.85/HR on W2 Security ... Design, develop, and optimize machine learning models using Python * Deploy and manage solutions in ...

AI Software Engineer-Principal

Annapolis, MD · On-site

$133K - $179K/yr

We are seeking a Principal Artificial Intelligence (AI) Software Engineer to design and deliver advanced artificial intelligence and machine learning (AI/ML) solutions that enhance intelligence ...

AI Engineer

Fort George G Meade, MD · On-site

$120 - $160/hr

Que Technology Group, Inc., is looking for a motivated AI Engineer with a proven track record in software engineering and deep understanding of Artificial Intelligence/Machine Learning (AI/ML ...

Showing results 41-60

Learning Ai information

What is a learning AI?

A Learning AI, or Artificial Intelligence that learns, refers to computer systems that can improve their performance over time by analyzing data and experiences. These systems use techniques such as machine learning and deep learning to adapt to new information, recognize patterns, and make predictions or decisions without being explicitly programmed for every task. Learning AI is used in many applications, including recommendation engines, language translation, and autonomous vehicles. As technology advances, Learning AI continues to play a crucial role in automating complex tasks and enhancing decision-making processes.

What are the key skills and qualifications needed to thrive as a learning AI engineer?

To thrive as a Learning AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or certification. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud computing platforms is typically required. Strong problem-solving skills, adaptability, and effective communication set outstanding professionals apart in this field. These skills are crucial for building, deploying, and refining AI models that solve real-world problems efficiently and ethically.

How do learning AI professionals typically collaborate with subject matter experts to develop effective training solutions?

Learning AI professionals frequently work alongside subject matter experts (SMEs) to ensure that AI-driven training tools and content are accurate, relevant, and engaging. This collaboration often involves regular meetings to gather domain-specific knowledge, iterative review of training modules, and feedback sessions to fine-tune AI models for optimal learning outcomes. Clear communication and a strong partnership with SMEs are essential, as they help bridge technical AI capabilities with real-world educational needs, resulting in more impactful and user-friendly learning solutions.

What is the difference between Learning Ai vs Data Scientist?

AspectLearning AiData Scientist
Required CredentialsTypically a degree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Computer Science, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness environments, analyzing data to inform decisions across industries
Employer & Industry UsagePrimarily in AI development, research, and product creationAcross finance, healthcare, marketing, and other sectors for data analysis

Learning Ai focuses on developing algorithms and models that enable machines to learn and improve autonomously, often involving deep learning and neural networks. Data Scientists analyze and interpret complex data to help organizations make informed decisions. While both roles require knowledge of machine learning, Learning Ai is more centered on creating AI systems, whereas Data Scientists focus on extracting insights from data.

How do I start a career in learning ai?

To start a career in learning AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining hands-on experience through projects, online courses, and certifications such as those from Coursera or edX can help build skills and demonstrate expertise to employers.

Is learning AI a good career path?

Learning AI can be a strong career choice due to high demand for skills in machine learning, data analysis, and programming languages like Python. Careers in AI often require continuous learning, strong problem-solving skills, and familiarity with tools such as TensorFlow or PyTorch. The field offers opportunities across industries including technology, healthcare, finance, and automotive sectors.

What job categories do people searching Learning Ai jobs in Washington look for?

The top searched job categories for Learning Ai jobs in Washington are:

What cities in Washington are hiring for Learning Ai jobs?

Cities in Washington with the most Learning Ai job openings:

Artificial Intelligence/Machine Learning (AI/ML) Engineer 3 TS/SCI w Poly

Peraton

Laurel, MD • On-site

$176K - $282K/yr

Full-time

PTO

Posted 20 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

52nd of 225 rated it services


Job description

Responsibilities
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Expand your AI/ML career at Peraton. We seek multiple Artificial Intelligence/Machine Learning (AI/ML) Engineers.
Designs, develops, tests, and operationalizes algorithms to solve complex business challenges and mission requirements. Models are built to learn from data and generate predictions aligned with customer-defined business logic and operational needs.
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Demonstrates proficiency across model architecture, data pipeline integration, and the application, interpretation, and presentation of performance metrics. Maintains a strong understanding of foundational concepts in application development, infrastructure management, data engineering, and data governance.
Responsible for training, retraining, deploying, scheduling, monitoring, and continuously improving models based on iterative user and system feedback to deliver scalable, high-performance solutions. May lead geographically distributed teams and frequently serve as the primary point of contact for related technical matters, requiring strong analytical thinking, problem-solving ability, and exceptional communication skills.
Technical & Engineering Expertise
  • Experience working with various ML libraries, packages, and frameworks
  • Experience with standard machine learning frameworks such as: PyTorch or TensorFlow
  • Design or select appropriate data and knowledge representation methods
  • Recognize and apply software architecture, data modeling, and data structure principles
  • Transform data science prototypes into scalable production solutions
  • Provide system integration oversight

Core AI/ML Capabilities
  • Select appropriate datasets for machine learning applications
  • Perform statistical analysis and data interpretation
  • Run and evaluate machine learning algorithms
  • Use analytical results to improve and optimize models
  • Train and retrain systems as required
  • Research and implement a broad range of AI/ML algorithms and tools
  • Verify data integrity and model output quality
  • Identify data distribution differences that may impact model performance

Testing, Evaluation & Validation
  • Run standard testing and evaluation protocols
  • Oversee testing and evaluation of AI/ML algorithms through iterative design processes
  • Ensure solutions meet verification and validation requirements

#MDFSP
#peratonroyalmove
#ClearedRoyalty
Qualifications
Experience & Education Requirements
  • Master's or Ph.D. degree in one of the following from an accredited college or university:
    • Advanced Mathematics
    • Artificial Intelligence
    • Data Science
    • Computer Science
    • Deep Learning
  • A relevant Bachelor's degree plus 5 additional years of machine learning experience may be substituted for a Master's degree.
  • An active TS/SCI with Poly is required.
  • Minimum of 5 years of experience in applied machine learning on programs/contracts of similar scope, type, and complexity

Desired Qualifications:
  • Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, is desired.

Benefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.
Investing in Your Growth: Selected candidates may be eligible for enhanced professional development opportunities, including training, certification programs, and skill-building experiences tailored to individual strengths, career goals, and role-specific requirements.
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$176,000 - $282,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017