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Associate Machine Learning Jobs in North Carolina

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

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 ...

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

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

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 · 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 4, 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
Sr Machine Learning Engineer

Sr Machine Learning Engineer

Moody's Corporation

Charlotte, NC • On-site

$119K - $157K/yr

Full-time

Posted 2 days ago

Job description

Job Summary:
Moody's Corporation is a global leader in ratings and integrated risk assessment, striving to create an inclusive environment. They are seeking a Senior Machine Learning Engineer to design and maintain Java-based software solutions that enhance their ratings technology platforms and analytical workflows.
Responsibilities:
• Design, build, and maintain high-quality Java-based software solutions that support Moody's Ratings technology platforms and analytical workflows
• Develop and maintain scalable, well-tested Java applications and services that power core ratings technology systems, following established engineering standards and best practices
• Architect and implement RESTful APIs and microservices to support internal platforms and downstream analytical tools used by ratings professionals
• Collaborate with product owners, business analysts, and fellow engineers to translate business requirements into technical solutions that meet performance, reliability, and scalability expectations
• Participate in all phases of the software development lifecycle, including design, development, testing, code review, deployment, and post-production monitoring
• Contribute to continuous improvement initiatives by identifying opportunities to modernize legacy systems, reduce technical debt, and enhance overall system performance
• Mentor junior and associate software engineers, offering guidance on coding standards, design patterns, and engineering practices that promote a culture of quality
• Engage with cloud infrastructure and DevOps tooling to support automated builds, testing pipelines, and deployment processes in alignment with the team's engineering roadmap
Qualifications:
Required:
• 5+ years of professional software engineering experience with a strong focus on Java, including the ability to design, develop, and maintain robust, scalable, and production-ready applications
• Proficiency in Java frameworks such as Spring Boot, Hibernate, or equivalent, with working knowledge of RESTful API design and microservices architecture
• Experience working in Agile development environments with a track record of delivering high-quality code through continuous integration and continuous deployment (CI/CD) pipelines
• Solid understanding of cloud platforms, with AWS preferred, including experience with containerization technologies such as Docker and Kubernetes
• Familiarity with relational and non-relational databases, including writing and optimizing SQL queries and understanding data modeling concepts
• Strong ability to collaborate across cross-functional engineering and analytical teams, participate in code reviews, and communicate technical concepts clearly to both technical and non-technical stakeholders
• Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience
Company:
In a world shaped by increasingly interconnected risks, Moody’s helps customers develop a holistic view of these risks to advance their business and act decisively. Founded in 1900, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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