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Element Solutions

Machine Learning/AI Engineer

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 ...

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How much do learning ai jobs pay per hour?

As of Jun 10, 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 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 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 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 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:
What job categories do people searching Learning Ai jobs look for? The top searched job categories for Learning Ai jobs are:
Learning Ai jobs near you
Infographic showing various Learning Ai job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 25% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $84,648 per year, or $40.7 per hour.
Machine Learning(AI)

Machine Learning(AI)

Syntricate Technologies

San Jose, CA • On-site

Other

Posted 3 days ago

Job description

Position- Machine Learning(AI)
Duration-Contract
Location-San Jose, CA
JD
WHAT YOU'LL BE DOING Support users deploying AI models on Ryzen AI and other AI-enabled AMD CPUs Collaborate with R&D to improve the quality and the usability of AMD's development tools Develop and validate debug, optimization and deployment techniques Explore and document how to port cutting-edge AI models to AMD's devices Act as liaison for AI/Client Application Consultants located in Hyderabad, India KEY QUALIFICATIONS Bachelor/master's in computer science, computer engineering, data science/analytics, or a related field Strong Python programming skills Good C/C++ programming skills Excellent written/verbal communication skills Experience in a field associated with the deployment of AI/Client models Experience with AI framework like ONNX, Pytorch or TensorFlow Strong analytical skills WHAT WILL SET YOU APART Hands-on experience in optimizing and integrating an AI model in a SW application Prior experience in leading a small team of engineers
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : 781-552-4333 |
Email : pallavi@syntricatetechnologies.com | Web: www.syntricatetechnologies.com
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