ZipRecruiter

Log In

2

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

DPR Construction

MLOps Engineer

Raleigh, NC · On-site

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

Google

Smart NIC Software Engineer, Embedded

Durham, NC · On-site

$127K - $167K/yr

As a software engineer, you will work on a specific project critical to Google's needs with ... Develop next generation AI/ML Networking solutions as well as Smart NICs at Google, taking the ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. The Machine Learning Engineer will develop software and machine learning ...

Qualcomm

Senior AI Performance Architect

Raleigh, NC · On-site

$162K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Today, more ... Understand trends in ML network design through customer engagements and latest academic research ...

Infosys Limited Digital

AI Architect

Raleigh, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We focus on adopting a data-first approach to engineering and value-stream management, enabling real-time visibility into the flow of value. Our team leverages advanced technologies such as AI, ML ...

previous pagenext page

Showing results 21-40

All JobsEntrylevel Ai Ml Engineer JobsEntrylevel Ai Ml Engineer Jobs in Raleigh, NC

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 17, 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:

Entrylevel Ai Ml Engineer jobs near you

MLOps Engineer

DPR Construction

Raleigh, NC • On-site

Full-time

Re-posted 17 days ago

DPR Construction rating

8.0

Company rating: 8.0 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

18th of 80 rated construction

Job description

Job DescriptionDPR is looking for an experienced Data and MLOps Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical direction of DPR's AI initiatives.
You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.

MLOps Engineer

DPR is a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency at all levels. We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering.

Position Overview

TheMLOps Engineerwill be instrumental inthe designand implementation of scalable, cloud-nativesolutions to meet the growing needs of ourData & Developmentteam.Thesuccessful candidatewill demonstrate the abilitytoabstract complexity andcreatereusable, scalable patternsthat accelerate development.The MLOps Engineerwilldesign, build and support the infrastructureand systemsthat enable our teams to deliver reliable, high-impactdata,workflows, and collaboratingclosely with data engineers, software developers, data scientists and product teams.

Responsibilities

  • Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning

  • Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly detection

  • Standardize observability practicesacross AI/ML and other development teamsincluding logging, metrics, tracing, and model performance monitoring, ingesting data from multiple platforms

  • Design and deploy containerized MLworkloads,partnering withInfrastructureEngineering for cluster provisioning and governance

  • Extend existing CI/CD pipelines to support automated infrastructure changes and ML workflows

  • Implement AI-driven data validation, schema drift detection, and metadata management.

  • Establish governance frameworks for AI systems, including bias detection, explainability, and auditability

  • Extend existing Azure RBAC strategy by automating role and permission management to reduce manual intervention

  • Collaborate withInfrastructureEngineering toautomate infrastructure provisioning

  • Act as a technical point of contact forDevOps andMLOps practices,developing reusable patterns, documentation, and proof-of-concepts to drive adoption

Qualifications

  • Bachelor's degree in Computer Science,Data Science,Information Systems, or a related field

  • 5+years of experience inDevOps, MLOps,Data Engineering,Software Engineeringor Site Reliability Engineering

  • Strong understanding of cloudinfrastructure and experience working with at least one major cloudprovider, preferably Azure

  • Proficiencyinat least one objected-oriented programming language, preferably pythonwith hands-on experience inml frameworks like TensorFlow, PyTorch or Scikit-learn

Required Skills

  • Experience with CI/CD processes and automation

  • Experience withInfrastructure as Codetoolssuch as Terraform,Bicep

  • Proficiencyincontainerized application deploymentsand container orchestration- experience with Kubernetes, especially AKS would be a huge plus

  • Experiencestanding up and managingobservability tools such as Datadog, Azure Monitor or GrafanaforAPM, LLM Opsand model performance monitoring

  • Experiencedeploying production-ready machine learning models

  • Experience withModel explainability (SHAP, LIME)or similar

  • Experience with cloud cost management and practices (e.g., Azure Cost Management, chargeback/show back models).

Nice to Have

  • Experience in Azure, particularly AKS,ACR, ARM,App Service, Azure Machine Learning and AI Foundry, Azure Monitor

  • Familiarity with semantic search, retrieval-augmented generation (RAG), or embedding pipelines

  • Exposure to managing and monitoring ML workloads that support generative AI or advanced analytics use cases

  • Proficiency with Snowflake

  • Experience with workflow orchestration platforms such as Apache Airflow, Argo Workflow, Prefect, etc.

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.

Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.

Explore our open opportunities atwww.dpr.com/careers.

What DPR Construction employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply