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Learning Ai Jobs in Raleigh, NC (NOW HIRING)

JAGGAER

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

... learning models for prediction, classification, clustering, and time-series analysis. • Develop Generative AI and LLM-powered solutions, including RAG pipelines for knowledge retrieval and ...

E-Solutions, Inc.

Gen AI Engineer

Raleigh, NC · On-site

Gen AI Engineer Job Location: Richardson, TX, Plano, TX, Dallas, TX, Irving, TX, Tampa, FL ... Participate in developing models using statistical or machine learning techniques and collaborate ...

Kanak Elite Services Inc

Data and AI Analyst

Cary, NC · On-site

AI & Machine Learning • Assist in building and monitoring AI models using SAS Viya and other platforms. • Support experimentation and proof-of-concepts for GenAI, predictive analytics, and NLP ...

Cisco

Applied AI Scientist

Durham, NC

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...

Cisco

Applied AI Scientist

Cary, NC · On-site

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...

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All JobsLearning Ai JobsLearning Ai Jobs in Raleigh, NC

Learning Ai information

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How much do learning ai jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for learning ai in Raleigh, NC is $39.56, according to ZipRecruiter salary data. Most workers in this role earn between $28.75 and $51.39 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.
What are popular job titles related to Learning Ai jobs in Raleigh, NC? For Learning Ai jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Learning Ai jobs in Raleigh, NC look for? The top searched job categories for Learning Ai jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Learning Ai jobs? Cities near Raleigh, NC with the most Learning Ai job openings:
Learning Ai jobs near you

Phenomics Innovation Product Owner

Syngenta Group

Durham, NC • On-site

Full-time

Re-posted 20 days ago

Job description

Company Description
About Syngenta
At Syngenta Group, we're a global community of 56,000 innovators across 90 countries, united by a 250-year legacy of agricultural excellence. As the world's most local agricultural technology partner, we create tailor-made solutions that transform farming while protecting our planet, driven by our commitment to innovation, ethics, and integrity. Through our inclusive environment and diverse perspectives, we pioneer breakthrough solutions for farmers, society, and future generations. Join our worldwide teams of agricultural pioneers in creating a more resilient and equitable food system for all.
Job Description
At Syngenta, we're transforming agriculture through innovation that helps farmers feed a growing world. Our Vegetables & Flowers Seeds Development team seeks a Phenomics Product Owner in Durham, to lead next-generation phenotyping solutions. You'll translate breakthrough technologies into competitive advantage, shaping how we develop superior vegetable varieties for sustainable agriculture.
Accountabilities
• Drive phenomics innovation strategy and technical roadmap aligned with breeding priorities, delivering competitive advantage
• Lead end-to-end technology integration from proof-of-concept through operational deployment across international R&D sites
• Serve as technical authority, evaluating emerging technologies in imaging, computer vision, and AI/ML for breeding applications
• Partner with IT teams to architect cloud-based platforms (AWS) and scalable data pipelines
• Build external ecosystem through technology scouting, collaborative research, and intellectual property strategy
Qualifications
Required
• Advanced degree (Master's or PhD) in Engineering, Computer Science, Computer Vision, or related field
• Demonstrated hands-on experience developing and deploying phenotyping solutions
• Strong technical foundation in imaging technologies, computer vision, machine learning/AI, and image analysis
• Proven track record translating business needs into deployed solutions with measurable impact
• Experience leading collaborative projects with multiple stakeholders
• Proficiency with Agile frameworks and cloud infrastructure (AWS preferred)
Desired
• Familiarity with seeds R&D, agricultural domain, or plant phenomics communities
• Experience with digital agriculture platforms and open-source phenomics tools
• Background in matrix organizations across multi-national teams
Additional Information
Please note: This position does not include visa sponsorships or relocation support.
Take your chance!
Be part of a global leader in vegetable seeds, where you'll have the opportunity to shape quality standards that impact farmers and consumers worldwide. This role offers the unique challenge of transforming a global operation while maintaining excellence in quality delivery.
At Syngenta, we believe in creating an inclusive and diverse work environment where all employees are valued and given the opportunity to grow. We offer a competitive salary and a comprehensive package of secondary employment benefits.
Join our team and help shape the future of agriculture! Do you recognize yourself in this profile? Don't wait, apply now! You can apply online via our intranet or our career page at www.syngenta.com.
For questions, please contact our recruiter Lars Conijn at lars.conijn@syngenta.com or call/WhatsApp + 31 6 28894484
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