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Entrylevel Ai Ml Engineer Jobs in Raleigh, NC (NOW HIRING)

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Deliver governed datasets and feature engineering/serving for ML training and real-time inference ...

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find ...

Cloud Platform Engineer

Durham, NC · On-site

$53.75 - $72/hr

RIT Solutions, Inc. is a company that specializes in cloud solutions, and they are seeking a Cloud Platform Engineer to enhance their AI/ML capabilities. The role involves monitoring system ...

AI Prompt and Skills Engineer

Raleigh, NC · On-site +1

$70K - $90K/yr

Relevant certifications in AI/ML platforms (e.g., Anthropic, Microsoft AI, AWS ML) are a plus. * Hands-on proficiency in prompt engineering, including the ability to write, test, iterate and optimize ...

AI Prompt and Skills Engineer

Raleigh, NC

$70K - $90K/yr

Relevant certifications in AI/ML platforms (e.g., Anthropic, Microsoft AI, AWS ML) are a plus. * Hands-on proficiency in prompt engineering, including the ability to write, test, iterate and optimize ...

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to ... S. or Ph.D in engineering, math, computer science, or related field • Excellent technical ...

MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Standardize observability practicesacross AI/ML and other development teamsincluding logging ...

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Entrylevel Ai Ml Engineer information

See Raleigh, NC salary details

$32.1K

$86.7K

$138K

How much do entrylevel ai ml engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for entrylevel ai ml engineer in Raleigh, NC is $86,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $106,000.00 per year, depending on experience, location, and employer.

What is the difference between Entrylevel Ai Ml Engineer vs Data Scientist?

AspectEntrylevel Ai Ml EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, data visualization
Employer & Industry UsageTech companies, startups, AI-focused firmsTech, finance, healthcare, research institutions

While both roles involve working with data and machine learning, an Entrylevel Ai Ml Engineer primarily focuses on building and deploying ML models, whereas a Data Scientist emphasizes analyzing data, creating insights, and statistical modeling. The roles often overlap but differ in daily tasks and focus areas.

What are popular job titles related to Entrylevel Ai Ml Engineer jobs in Raleigh, NC? For Entrylevel Ai Ml Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Entrylevel Ai Ml Engineer jobs in Raleigh, NC look for? The top searched job categories for Entrylevel Ai Ml Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Entrylevel Ai Ml Engineer jobs? Cities near Raleigh, NC with the most Entrylevel Ai Ml Engineer job openings:

$85K - $100K/yr

Full-time

Re-posted 22 days ago


Job description

Role Summary
Seeking a highly skilled AI Threat Modeling Engineer to strengthen its cybersecurity posture across AI/ML platforms and enterprise applications. The role focuses on proactively identifying, modeling, and mitigating threats across AI systems, ensuring secure adoption of GenAI and ML technologies in a regulated insurance environment.
This position sits at the intersection of AI engineering, cybersecurity architecture, and risk governance, driving secure-by-design AI solutions across the enterprise.
Key Responsibilities
1. AI Threat Modeling & Risk Analysis
• Develop and execute threat models for AI/ML systems, including GenAI, LLMs, and predictive models
• Identify vulnerabilities such as prompt injection, adversarial ML attacks, model poisoning, data leakage
• Perform risk assessments aligned with enterprise cybersecurity and regulatory requirements
2. Secure AI Architecture & Design
• Collaborate with architecture teams to embed security controls into AI pipelines (training inference deployment)
• Define secure design patterns for AI platforms deployed on cloud (AWS/Azure/GCP)
• Ensure alignment with Zero Trust, DevSecOps, and secure SDLC practices
3. Vulnerability Management & Testing
• Integrate SAST, DAST, and AI-specific security testing frameworks within CI/CD pipelines
• Conduct security reviews of AI models, APIs, and data pipelines
• Drive remediation strategies for identified risks
Salary Range: $85,000 to $100,000 per year