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Hourly Embedded Machine Learning Jobs in North Carolina

Booz Allen Hamilton

Data Scientist, Mid

Jacksonville, NC · On-site

$77K - $176K/yr

... and machine learning models on platforms such as Databricks, Snowflake, or Palantir Foundry * Secret clearance * HS diploma or GED Nice If You Have: * Experience working as an embedded technical ...

Booz Allen Hamilton

Mid Data Scientist

Jacksonville, NC · On-site

$77K - $176K/yr

... and machine learning models on platforms such as Databricks, Snowflake, or Palantir Foundry * Secret clearance * HS diploma or GED Nice If You Have: * Experience working as an embedded technical ...

Teleflex

Sr. Engineer, Software Dev, R&D

Morrisville, NC · On-site

$114K - $151K/yr

... machine learning (AI/ML), application software, and embedded software systems. This role involves providing software leadership for the development and sustainment of medical device software ...

Teleflex

Sr. Engineer, Software Dev, R&D

Morrisville, NC

$114K - $151K/yr

... machine learning (AI/ML), application software, and embedded software systems. This role involves providing software leadership for the development and sustainment of medical device software ...

Corning

Digital Finance Analyst

Charlotte, NC · Hybrid

... an embedded member of a Finance delivery team and a participant in Corning's Digital Finance ... Apply machine learning-assisted techniques - including anomaly detection and cost forecasting - to ...

Deloitte

Cyber Manager - AI SOC

Charlotte, NC · On-site

$108K - $146K/yr

Experience applying artificial intelligence, machine learning, or large language model workflows to ... In this embedded, client-facing role, you will work directly with client stakeholders to understand ...

Deloitte

Cyber Manager - AI SOC

Raleigh, NC · On-site

$107K - $145K/yr

Experience applying artificial intelligence, machine learning, or large language model workflows to ... In this embedded, client-facing role, you will work directly with client stakeholders to understand ...

Skyeton

Software Engineer

Fayetteville, NC · On-site

Develop embedded, desktop, and/or cloud-based applications supporting aircraft operation and ... AI/Machine Learning applications for autonomous systems Knowledge, Skills, and Abilities * Strong ...

Owens Corning

Machine Operator, 2nd Shift

Stokesdale, NC · On-site

$20.60/hr

The hourly pay rate for this position is $20.60 + benefits. This information is specific to ... Capable of following verbal and written instructions and learning all the functions of this machine.

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Hourly Embedded Machine Learning information

What is an hourly embedded machine learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

How does an hourly embedded machine learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What are the key skills and qualifications needed to thrive as an hourly embedded machine learning engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are the most commonly searched types of Embedded Machine Learning jobs in North Carolina?

The most popular types of Embedded Machine Learning jobs in North Carolina are:

What are popular job titles related to Hourly Embedded Machine Learning jobs in North Carolina?

For Hourly Embedded Machine Learning jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Hourly Embedded Machine Learning jobs in North Carolina look for?

The top searched job categories for Hourly Embedded Machine Learning jobs in North Carolina are:

What cities in North Carolina are hiring for Hourly Embedded Machine Learning jobs?

Cities in North Carolina with the most Hourly Embedded Machine Learning job openings:

Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Artificial Intelligence Business Systems Analyst

Carrier Sales & Distribution LLC

Knightdale, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

AI Business Systems Analyst | Carrier Enterprise |
Company Description:
Carrier Enterprise (CE) is a premier national distributor specializing in residential and light commercial Heating, Ventilation, and Air Conditioning (HVAC) products, parts, and supplies. We serve licensed HVAC/R dealers and contractors, ensuring top-quality HVAC solutions across 28 states, Puerto Rico, the Caribbean, Latin America, Mexico, and Canada. With over 200+ locations, we are well-positioned to meet our customers' HVAC/R needs.
Company website:
www.carrierenterprise.com
AI Business Systems Analyst
The AI Business Systems Analyst drives and executes the complete lifecycle of AI initiatives while serving as a key integration contributor connecting AI capabilities to core enterprise technology platforms. This role bridges AI strategy with operational execution, ensuring that AI solutions deliver measurable business value and are seamlessly embedded within existing systems.
KEY RESPONSIBILITIES
  • Drive the full AI initiative lifecycle from intake and feasibility through integration, deployment, and post-launch optimization ensuring measurable business value and enterprise alignment
  • Facilitate cross-functional collaboration across business stakeholders, IT, and developers coordinating UAT, defect tracking, and user readiness throughout the SDLC
  • Identify, assess, and document RPA automation opportunities where AI is not the appropriate solution and coordinate implementation utilizing platforms like UiPath or Automation Anywhere
  • Translate business and SME input into structured AI workflow documentation, data flow architecture, and requirements specifications aligned to Salesforce
  • Contribute to KPI dashboards and performance reporting using Power BI, Tableau, Excel, and SQL supporting AI-assisted analytics including predictive insights and anomaly detection
  • Execute pre and post deployment testing to validate operational viability, data integrity, user readiness, and compliance while tracking AI capabilities for continuous improvement
  • Develop and maintain scalable AI workflow documentation, integration standards, and technical specifications to support team knowledge continuity
  • Translate complex technical concepts into clear actionable business language while facilitating stakeholder engagement across multiple parallel AI initiatives

REQUIRED QUALIFICATIONS
  • 2+ years of hands-on experience as an AI-focused Business Analyst with direct, demonstrable involvement in AI initiatives, RPA automation, and enterprise digital transformation with a proven ability to translate complex technical concepts into clear, actionable business language. Candidates without AI project experience will not be considered.
  • Hands-on experience with RPA platforms (UiPath, Automation Anywhere, or equivalent) and working knowledge of Salesforce CRM and cross-platform enterprise integration
  • Proficiency in Power BI, Tableau, Advanced Excel, and SQL with the ability to develop KPI dashboards and translate data into actionable business insights
  • Strong collaboration and communication skills with the ability to bridge technical and business teams while supporting SDLC deliverables in program like: Jira, Confluence, and Azure DevOps
  • Bachelor's degree in Artificial Intelligence related fields: AI Business Strategy, Data Science, or Machine Learning. Or Business Administration, Information System and AI experience.

PREFERRED QUALIFICATIONS
  • AI or data analytics certification or equivalent experience with demonstrated ability to evaluate when AI is and is not the appropriate solution
  • RPA certification in UiPath, Automation Anywhere, or equivalent with hands-on implementation experience and ability to recommend RPA or workflow automation when AI is not the right fit
  • Experience with complementary automation solutions including business rules engines, workflow automation, and process modeling tools such as BPMN 2.0, UML, or Lean mapping
  • Exposure to cloud-based AI and automation platforms such as Microsoft Azure AI, AWS Machine Learning, or Google Cloud AI supporting scalable enterprise solutions
  • Prior experience in customer experience, contact center, or enterprise technology environments supporting AI and automation solution design from the business side
  • Familiarity with data governance, data lineage practices, and compliance considerations within complex AI and automation environments

Benefits:
  • Health Insurance
  • Health Savings Account
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Disability Insurance (Short-term and Long-term)
  • Employee Assistance Program (EAP)
  • Tuition Reimbursement & Professional Development
  • Paid Vacation & Sick time
  • Company Paid Holiday's
  • 401(k) Plan with Employer Match
  • Employee Discount Program
  • Company Paid Volunteer Time Off
  • Invitation to Apply

Full-time and part-time positions are available. To explore this exciting (insert position here) opportunity and other career opportunities at Carrier Enterprise, visit our careers page at www.carrierenterprise.com/careers. Learn more about our company and team.
Equal Opportunity Statement:
Carrier Enterprise, LLC is an Equal Opportunity Employer and does not discriminate on the basis of age, color, race, religion, disability, sex, or national origin. We support a diverse and inclusive workplace where we employ, retain, terminate, and otherwise treat all employees and job applicants on the basis of merit, qualifications, and competence. CE#123
Requirements
  • Bachelor's degree in business administration, Data Analytics, Information Systems, Computer Science, or related field; minimum 1-3 years in business analysis, systems integration, process improvement, or enterprise workflow systems
  • Must be eligible to work in the US without sponsorship)
  • Hands-on proficiency with Salesforce CRM configuration and integration; working knowledge of RPA platforms (UiPath, Automation Anywhere, or equivalent); AI, automation, or digital transformation experience strongly preferred
  • Advanced proficiency in process documentation, data flow mapping, requirements gathering, and business process modeling; strong ability to evaluate business cases, assess ROI, and translate requirements into technical specifications
  • Expertise with performance reporting tools (Power BI, Tableau, Excel), KPI development, and dashboard design; excellent facilitation and stakeholder management skills with ability to influence across functions without direct authority
  • Demonstrated ability to manage multiple platforms, exercise independent judgment on technical and business decisions, balance competing priorities, and thrive in fast-evolving AI environments with appropriate escalation

Apply