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Learning Ai Jobs (NOW HIRING)

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c) Position Type: Multiyear Contract We are looking for candidates ...

The Machine Learning/AI Engineer will work across the full model lifecycle-from data preparation and feature engineering to model training, deployment, and monitoring-in a regulated government ...

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c) Position Type: Multiyear Contract We are looking for candidates ...

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c) Position Type: Multiyear Contract We are looking for candidates ...

AI Learning Specialist

Baltimore, MD · On-site

$150K - $170K/yr

AI Learning Specialist Are you passionate about helping others discover the potential of machine learning and artificial intelligence (AI)? Do you enjoy demystifying complex concepts and making them ...

AI Learning Specialist

Windsor Mill, MD · Remote

$150K - $170K/yr

AI Learning Specialist Are you passionate about helping others discover the potential of machine learning and artificial intelligence (AI)? Do you enjoy demystifying complex concepts and making them ...

... aware AI. Hands-on experience with quantized model deployment, ML design stacks, and code ... Experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and their low-level IRs or ...

Role Summary We are looking for a Research Scientist with deep expertise in quantized deep learning ... aware AI. • Hands-on experience with quantized model deployment, ML design stacks, and code ...

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Learning Ai information

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How much do learning ai jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for learning ai in the United States is $40.70, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $52.88 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, machine learning executive, or senior data scientist, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and cutting-edge development.

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 jobs can I get if I learn AI?

Learning AI can qualify you for roles such as AI engineer, machine learning engineer, data scientist, or AI researcher. These positions typically require skills in programming, data analysis, and familiarity with AI frameworks like TensorFlow or PyTorch, and often involve developing algorithms, models, and applications across various industries.

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.

Can I get paid to learn AI?

Learning AI can be financially supported through internships, apprenticeships, or training programs that offer stipends or salaries. Some companies and educational platforms also provide paid opportunities for gaining skills in AI, machine learning, and data science while working on real projects. However, most formal learning paths require self-investment or sponsorship until you acquire marketable skills for paid roles.

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.

How can I start a career in AI?

To start a career in AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining experience through online courses, certifications, and projects using tools like TensorFlow or PyTorch can help build practical skills and improve employability in the field.

What are the key skills and qualifications needed to thrive as a Learning AI Engineer, and why are they important?

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.
More about Learning Ai jobs
What cities are hiring for Learning Ai jobs? Cities with the most Learning Ai job openings:
What states have the most Learning Ai jobs? States with the most job openings for Learning Ai jobs include:
Infographic showing various Learning Ai job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $84,648 per year, or $40.7 per hour.
Machine Learning/AI Engineer

Machine Learning/AI Engineer

System One

Merrifield, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Machine Learning/AI Engineer
Location: Hybrid in Vienna, VA or Remote
Pay Rate: Open to Both W2 and established 1099 options (no c2c)
Position Type: Multiyear Contract

We are looking for candidates with 5-10 years of professional experience with a combination of data science and machine learning expertise with knowledge of AI governance, MLOps, and emerging AI technologies.  Candidates must live in the United States and be able to pass both a criminal and credit background check.  We are open to W2 and established 1099 candidates – no c2c.
This position is for a Machine Learning/AI Engineer or Data Scientist focused on designing, developing, deploying, and securing advanced AI/ML solutions (more of an AI/ML Engineer and less of data scientist).  The role involves building machine learning models throughout their lifecycle, analyzing large-scale structured and unstructured data, developing AI-powered solutions using cloud platforms, and collaborating with data engineers and data scientists.  A key aspect of the role is evaluating AI safety, security, and risk, including reviewing AI architectures, conducting risk assessments, and ensuring secure deployment and monitoring of AI systems. The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI, and cloud-based AI infrastructure.
Responsibilities
• Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc.
• Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.
• Review A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks.
• Perform A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring.
• Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects.
• Research and evaluate emerging technologies.
• Develop data science solutions based on tools and cloud computing infrastructure.
• Perform other duties as assigned.

Requirements
• Advanced degree in in computer science, mathematics, physics, statistics.
• Strong experience with applying expertise in model design, training, validation, and monitoring.
• Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks.
• Experience with cloud computing infrastructure.
• Experience with Computer Vision, image processing and video analytics.
• Experience with Natural Language Processing/ Natural Language Understanding.
• Experience with deep learning framework and infrastructure like TensorFlow or PyTorch.
• Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs).
• Experience and/or willing to research, develop, implement, and fine-tune LLMs in terms of specific domains knowledge and user cases.
• Ability to work individually, and as part of a team.
• Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.

Desired:
• Experience with reviewing A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks.
• Experience with performing A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring.
• A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA.
• Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.
• Knowledge on principles of A.I. Security and Safety.
• Experience with Advance Reinforcement Learning Paradigms.
• Experience with Speech Recognition.
• Experience with Microsoft Azure services.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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Ref: #851-Rockville-S1