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Azure Machine Learning Jobs in North Carolina (NOW HIRING)

CYNET SYSTEMS

Data Scientist

Cary, NC · On-site

$65 - $70/hr

Machine Learning. * Artificial Intelligence. * Python. * SQL. * GenAI. * Azure ML. * Power BI. * Dominos. * Predictive Modeling. * ML-Ops. * Data Analysis. * Statistics. Qualification And Education:

Staffingine LLC

MLOps Engineer

Charlotte, NC · On-site

Overall 8 to 10 years of solid experience in the areas of data engineering machine learning data ... Azure Databricks AWS Databricks specializing in End to End MLOps architecture with practical ...

Nastech Global

GEN AI Architect

Charlotte, NC · On-site

... Azure) and familiarity with DevOps practices. Experience in deploying and maintaining AI systems in production environments. Solid understanding of machine learning, NLP, computer vision, and other ...

Donato Technologies, Inc

ML Ops Engineer

Charlotte, NC · On-site

$60/hr

Overview Machine Learning AI team seeking a ML Ops Engineer to drive the full lifecycle of machine ... Azure). * Implement CI/CD workflows for model lifecycle management, including versioning ...

Socket.dev

Data Scientist I

Charlotte, NC · On-site

$90 - $115/hr

Strong foundation in machine learning techniques , including supervised, unsupervised, and ... Familiarity with cloud platforms (Azure and/or AWS) and modern MLOps or cloud‑based deployment ...

New

ClifyX

AI ML Data Scientist

Cary, NC · On-site

Required : • Machine Learning techniques • Unsupervised - K-means Clustering, PCA - Dimension ... Azure, Flask, Docker & Kubernetes, Kafka • 5-10+ years of result-oriented, hands-on professional ...

Socket.dev

AI ML Data Scientist

Cary, NC · On-site

$100 - $120/hr

Machine Learning techniques * Unsupervised - K-means Clustering, PCA - Dimension Reduction, Kernel ... Cloud ,Web frameworks & Virtualization * Azure, Flask, Docker & Kubernets, Kafka Roles ...

Infosys Limited Digital

Azure Data Engineer

Dallas, NC · On-site

$99K - $119K/yr

Required Skill and Experience Azure Databricks, Pyspark, SQL Preferred Skill and Experience Azure Databricks, Pyspark, SQL, Machine Learning, Data warehousing Additional Required Qualifications • ...

flyExclusive

AI Software Developer

Raleigh, NC · On-site

The role involves directing AI coding agents, designing and building machine-learning models, and ... Azure services, CI/CD, and source control, shipping small, well-tested changes. • Iterate quickly ...

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All JobsAzure Machine Learning JobsAzure Machine Learning Jobs in North Carolina

Azure Machine Learning information

See North Carolina salary details

$9

$64

$87

How much do azure machine learning jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for azure machine learning in North Carolina is $64.05, according to ZipRecruiter salary data. Most workers in this role earn between $55.48 and $72.31 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Azure Machine Learning engineer?

To thrive as an Azure Machine Learning Engineer, you need a strong background in data science, programming (Python or R), statistics, and machine learning concepts, often supported by a degree in computer science or a related field. Proficiency with Azure Machine Learning Studio, cloud platforms, and relevant certifications like Microsoft Certified: Azure AI Engineer Associate are typically required. Strong problem-solving abilities, communication skills, and the ability to work collaboratively with cross-functional teams are valuable soft skills. These skills ensure effective deployment and management of machine learning solutions that align with business objectives and operate efficiently in cloud environments.

What is the difference between Azure Machine Learning vs Data Scientist?

AspectAzure Machine LearningData Scientist
Required CredentialsAzure certifications, data science, machine learning skillsStatistics, programming, data analysis degrees
Work EnvironmentCloud platforms, AI/ML projects, collaboration toolsResearch, data analysis, modeling in various settings
Industry UsageTech, finance, healthcare using cloud-based ML solutionsBroad industry application including research and business

Azure Machine Learning specialists focus on deploying and managing ML models on Azure cloud, often requiring cloud certifications. Data Scientists analyze data, build models, and interpret results across industries. While both roles involve machine learning, Azure Machine Learning professionals specialize in cloud-based solutions, whereas Data Scientists focus on data analysis and model development in diverse environments.

What is Azure Machine Learning?

Azure Machine Learning is a cloud-based service provided by Microsoft that enables data scientists and developers to build, train, and deploy machine learning models efficiently. It offers a suite of tools for automating the machine learning lifecycle, including data preparation, model training, and deployment to production environments. Azure Machine Learning supports popular frameworks such as TensorFlow, PyTorch, and scikit-learn, and integrates with other Azure services for scalable and secure solutions.

What are the common challenges faced by professionals working with Azure Machine Learning, and how can they be addressed?

Professionals working with Azure Machine Learning often encounter challenges like integrating diverse data sources, managing computational resources efficiently, and ensuring model scalability in production environments. Collaboration with data engineers and DevOps teams is crucial to streamline data pipelines and automate deployment workflows. Staying current with Azure updates and best practices, as well as leveraging built-in tools like ML pipelines and version control, helps address these challenges and improves project outcomes.
What are popular job titles related to Azure Machine Learning jobs in North Carolina? For Azure Machine Learning jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Azure Machine Learning jobs in North Carolina look for? The top searched job categories for Azure Machine Learning jobs in North Carolina are:
Azure Machine Learning jobs near you
Infographic showing various Azure Machine Learning job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,231 per year, or $64.1 per hour.

Data Scientist

CYNET SYSTEMS

Cary, NC • On-site

$65 - $70/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago

Job description

Job Overview:
Pay Range: $65.00hr - $70.00hr
Requirement/Must Have:
  • Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field.
  • 8+ years of overall experience in AI/ML engineering and/or data science.
  • 5+ years of insurance business and/or financial industry experience with sales, marketing, and/or customer engagement analytics.
  • Proven experience designing, deploying, and operating production ML and/or GenAI solutions, including APIs, batch, and real-time inference.
  • Experience in developing Machine Learning models using Python (preferably in the cloud).
  • Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and/or model monitoring.
  • Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data Analysis.
  • Experience with Dominos, Power BI, and/or Azure ML.
  • Strong understanding of statistics and mathematics for data analysis and prediction.
  • Ability to use predictive modeling or AI solutions to increase and optimize customer experience/communication, revenue generation, ad targeting, and other business outcomes.
  • Excellent communication and presentation skills to present results clearly and effectively by creating presentations with storytelling, visualizations, and results.
  • Strong problem-solving skills and ability to communicate effectively with stakeholders.
Responsibilities:
  • Take accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain.
  • Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases.
  • Analyze complex data sets to identify trends, patterns, and actionable insights that can inform business strategies.
  • Collaborate with stakeholders and cross-functional teams to develop and implement data-driven solutions.
  • Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices.
  • Visualize data, create reports, and present findings to senior management and cross-functional teams.
  • Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azure).
  • Research and stay up to date with the latest advances in AI, Data Science, and Machine Learning.
  • Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures.
Skills:
  • Machine Learning.
  • Artificial Intelligence.
  • Python.
  • SQL.
  • GenAI.
  • Azure ML.
  • Power BI.
  • Dominos.
  • Predictive Modeling.
  • ML-Ops.
  • Data Analysis.
  • Statistics.
Qualification And Education:
  • Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field.
     
 

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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