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Associate Machine Learning Jobs in North Carolina

Deloitte

AI Solutions Architect

Charlotte, NC · On-site

$61.50 - $81/hr

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into ...

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC

A postdoctoral Research Associate (computational biology and bioinformatics area) position is open ... The ideal candidate will develop novel machine learning and artificial intelligence (ML/AI) methods ...

Deloitte

AI Solutions Architect

Raleigh, NC · On-site

$61.25 - $80.75/hr

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into ...

Labcorp

Associate Data Scientist

Burlington, NC · Hybrid

$49K - $49K/yr

As an Associate Data Scientist , you will join a collaborative team dedicated to solving complex ... Build, test, and deploy statistical and machine learning models to support business and scientific ...

Labcorp

Associate Data Scientist

Durham, NC · Hybrid

$57K - $57K/yr

As an Associate Data Scientist , you will join a collaborative team dedicated to solving complex ... Build, test, and deploy statistical and machine learning models to support business and scientific ...

Labcorp

Associate Data Scientist

Durham, NC · On-site

$57K - $57K/yr

As an Associate Data Scientist , you will join a collaborative team dedicated to solving complex ... Build, test, and deploy statistical and machine learning models to support business and scientific ...

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC · On-site

A postdoctoral Research Associate (computational biology and bioinformatics area) position is open ... The ideal candidate will develop novel machine learning and artificial intelligence (ML/AI) methods ...

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Showing results 1-20

All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in North Carolina

Associate Machine Learning information

See North Carolina salary details

$20.1K

$105.7K

$259.2K

How much do associate machine learning jobs pay per year?

As of Jul 1, 2026, the average yearly pay for associate machine learning in North Carolina is $105,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,700.00 and $146,600.00 per year, depending on experience, location, and employer.

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

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an Associate Machine Learning Engineer, and why are they important?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by Associate Machine Learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an Associate Machine Learning Engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in North Carolina? The most popular types of Machine Learning jobs in North Carolina are:
What are popular job titles related to Associate Machine Learning jobs in North Carolina? For Associate Machine Learning jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning jobs in North Carolina look for? The top searched job categories for Associate Machine Learning jobs in North Carolina are:
What cities in North Carolina are hiring for Associate Machine Learning jobs? Cities in North Carolina with the most Associate Machine Learning job openings:
Associate Machine Learning jobs near you
Senior Associate Information Security Consultant - Machine Learning & Agentic AI Solutions Lead for

Senior Associate Information Security Consultant - Machine Learning & Agentic AI Solutions Lead for

Truist

Charlotte, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Truist rating

8.1

Company rating: 8.1 out of 10

Based on 114 frontline employees who took The Breakroom Quiz

47th of 144 rated banks

Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)
Please review the following job description:
Deliver technically advanced solutions in support of Truist's Anti-Money Laundering (AML) Technology initiatives, with a focus on Machine Learning and Generative AI use cases. Partner with application teams, product owners, and internal stakeholders to design, guide, and implement model-driven solutions. Provide subject matter expertise throughout the model lifecycle, from concept through governance, approval, and deployment.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
  • Serve as a technical advisor across AML Technology teams for Machine Learning and Generative AI initiatives, supporting multiple use cases and applications.
  • Collaborate with application teams, vendors, and internal partners to design, develop, and deploy predictive and AI-driven models aligned with financial crime detection objectives.
  • Provide expertise in model development, integration, and deployment - including supporting teams in configuring solutions, performing analysis, and enabling scalable implementations.
  • Guide and influence best practices for Machine Learning and AI adoption within AML Technology, helping define standards, approaches, and reusable frameworks.
  • Lead and contribute to model lifecycle activities, including development, testing, validation support, implementation, and post-deployment monitoring.
  • Support development of required model documentation, including Model Definition Documents (MDD), and ensure alignment with internal standards and regulatory expectations.
  • Partner with application teams to navigate AI governance processes, including model review, validation, risk assessment, and approval workflows required for production deployment.
  • Build and support monitoring, performance evaluation, and controls for models and associated applications in production environments.
  • Ensure adherence to security, compliance, and enterprise technology standards across all implemented solutions.
  • Help solve complex technical and operational challenges related to model integration, data pipelines, and AI deployment in enterprise systems.
  • Act as a mentor and resource for teammates, providing guidance on Machine Learning techniques, financial crime use cases, and technical implementation strategies.

QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.
  • Minimum of 3 years of experience in information security, systems analysis, or related technical field.
  • Foundational knowledge of data security principles, system architecture, and security controls.
  • Experience or exposure to system monitoring, data analysis, or risk identification activities.

Preferred Qualifications:
  • Strong experience with Machine Learning techniques, model development, and deployment in enterprise environments.
  • Exposure to Generative AI technologies and frameworks (e.g., LLMs, prompt engineering, model orchestration).
  • Working knowledge of financial crimes / AML domain concepts (e.g., transaction monitoring, suspicious activity detection, fraud analytics).
  • Experience supporting or contributing to model governance, validation, or regulatory processes.
  • Strong foundation in data structures, algorithms, and software engineering principles.
  • Familiarity with open-source ML frameworks and tools (e.g., Python, TensorFlow, PyTorch, Scikit-learn).
  • Experience with cloud platforms such as AWS, Azure, or GCP, including ML/AI services.
  • Experience with data platforms, SQL, and data modeling.
  • Familiarity with CI/CD pipelines and tools such as Git, Jenkins, Maven.

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019

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