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Ml Data Associate Jobs in Raleigh, NC (NOW HIRING)

Principal AI Architect

Raleigh, NC · On-site

$160K - $240K/yr

... data platforms, or distributed systems. • Deep expertise in AI/ML architecture, including GenAI ... associates. More information can be found at Qualifications: Bachelor's Degree and 10 years of ...

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

AI Engineer

Cary, NC

$110K - $150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

... associates. More information can be found at Qualifications: Bachelor's Degree and 6 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms OR High School ...

... associates. More information can be found at Qualifications: Bachelor's Degree and 6 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms OR High School ...

Software Engineer

Raleigh, NC · On-site +1

$135K - $154K/yr

... S3) for persistent data. * Govern enterprise version control using Git, GitHub and GitLab ... Develop and deploy AI/ML applications and MLOps workflows using Red Hat OpenShift AI, including RAG ...

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Ml Data Associate information

See Raleigh, NC salary details

$55.9K

$66.1K

$125.4K

How much do ml data associate jobs pay per year?

As of Jul 11, 2026, the average yearly pay for ml data associate in Raleigh, NC is $66,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $57,800.00 per year, depending on experience, location, and employer.

What is the salary of ML data operations associate?

The salary of an ML Data Associate typically ranges from $40,000 to $70,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced professionals with specialized skills in data annotation and machine learning tools can earn higher salaries.

What are the key skills and qualifications needed to thrive as an ML Data Associate, and why are they important?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are ML Data Associates?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

Is being an ML data associate stressful?

Working as an ML data associate can be stressful due to tight deadlines, repetitive tasks, and the need for high accuracy in data labeling and management. The role often requires attention to detail, patience, and the ability to handle large volumes of data efficiently.

Is ML a high paying job?

Machine Learning (ML) Data Associate roles typically offer competitive salaries that vary based on experience, location, and industry. Entry-level positions may start lower, but with skills in programming, data analysis, and familiarity with ML tools, salaries can increase significantly with experience and specialization.

How much does an ML Data Associate make?

An ML Data Associate typically earns between $40,000 and $70,000 annually, depending on experience, location, and the complexity of data tasks. Entry-level positions may start lower, while experienced associates with specialized skills in data annotation or labeling can earn higher salaries.

What are some common challenges faced by ML Data Associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.
What are popular job titles related to Ml Data Associate jobs in Raleigh, NC? For Ml Data Associate jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Ml Data Associate jobs? Cities near Raleigh, NC with the most Ml Data Associate job openings:
Principal AI Architect

Principal AI Architect

First Citizens Bank

Raleigh, NC • On-site

$160K - $240K/yr

Full-time

Re-posted 5 days ago


First Citizens Bank rating

7.5

Company rating: 7.5 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

91st of 148 rated banks


Job description

Overview

The Principal AI Architect is a senior technical leadership role responsible for defining and governing enterprise-wide AI, GenAI, and MLOps architecture. This role sets the long-term vision, reference architectures, and reusable patterns for scalable, secure, and responsible AI adoption across the organization. This role combines strong hands-on engineering with strategic innovation to design, prototype, and deliver intelligent, data-driven solutions that power analytics, machine learning, and next-generation AI applications.


Responsibilities

Enterprise AI & GenAI Architecture

  • Define and own enterprise AI and GenAI reference architectures, including LLM platforms, RAG patterns, agentic systems, and multimodal solutions.
  • Establish standardized architectural patterns for model serving, prompt management, orchestration, tool use, and agent frameworks.
  • Lead architecture decisions for buy vs. build, model selection, hosting strategies, and vendor integrations.
  • Ensure AI architectures align with enterprise standards, cloud strategy, security, and governance.

AI Platform Engineering & MLOps

  • Prototype and operationalize advanced AI solutions, including GenAI and LLM-based systems.
    Architect end-to-end MLOps capabilities, including model lifecycle management, CI/CD for ML, feature stores, model monitoring, and drift detection.
  • Define enterprise patterns for training, fine-tuning, deployment, and observability of ML and GenAI workloads.
  • Guide teams on productionizing PoCs into scalable, resilient, and supportable AI systems.
  • Partner with platform teams to evolve a shared enterprise AI platform.


AWS-Centric AI Architecture

  • Design AI and GenAI solutions using AWS-native services, including (but not limited to):
  • Amazon Bedrock, SageMaker, Lambda, ECS/EKS
  • S3, DynamoDB, Aurora, OpenSearch
  • IAM, KMS, VPC, CloudWatch
  • Define cost, performance, and scalability guardrails for AI workloads on AWS.
  • Ensure architectures follow Well-Architected Framework principles.

Governance, Risk, and Responsible AI

  • Partner with security, legal, and compliance teams to define AI governance, guardrails, and controls.
  • Embed responsible AI principles, data privacy, and explainability into enterprise designs.
  • Establish standards for model access, auditability, and risk management.

Technical Leadership & Influence

  • Act as a principal-level advisor to senior technology and business leaders.
    Champion hands-on experimentation and rapid solution delivery while maintaining technical excellence.
  • Mentor architects and senior engineers on AI architecture and MLOps best practices.
  • Drive alignment across teams by publishing reference architecture, design standards, and decision frameworks.
  • Represent the organization in architecture forums, reviews, and strategic initiatives.

Qualifications

Bachelor's Degree and 10 years of experience in Application Development, Systems Engineering, or Information Technology management OR High School Diploma or GED and 14 years of experience in Application Development, Systems Engineering, or Information Technology management

Preferred Qualifications:
• 10+ years of experience in enterprise architecture, data platforms, or distributed systems.
• Deep expertise in AI/ML architecture, including GenAI and LLM-based systems.
• Strong experience designing MLOps platforms and enterprise AI foundations.
• Proven experience architecting solutions on AWS.
• Experience with Snowflake Cortex AI, Snowflake Native AI capabilities
• Strong understanding of cloud security, networking, and governance.
• Proficiency in Python, SQL, and modern data frameworks (e.g., Databricks, Airflow, Snowflake, Vertex AI).
• Relevant AWS certifications in cloud architecture, AI/ML, generative AI, or related domains.
• Experience with agentic AI design patterns, including tool-use orchestration, autonomous workflow agents, or AI copilots.
• Proficiency in API design, microservices, and containerization (Docker, Kubernetes).
• Demonstrated ability to rapidly prototype new AI concepts and transition successful PoCs into production-grade systems.

#LI-XG1

If hired in NC, the base pay for this position is generally between $160,000 and $240,000. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 10 years of experience in Application Development, Systems Engineering, or Information Technology management OR High School Diploma or GED and 14 years of experience in Application Development, Systems Engineering, or Information Technology management

Preferred Qualifications:
• 10+ years of experience in enterprise architecture, data platforms, or distributed systems.
• Deep expertise in AI/ML architecture, including GenAI and LLM-based systems.
• Strong experience designing MLOps platforms and enterprise AI foundations.
• Proven experience architecting solutions on AWS.
• Experience with Snowflake Cortex AI, Snowflake Native AI capabilities
• Strong understanding of cloud security, networking, and governance.
• Proficiency in Python, SQL, and modern data frameworks (e.g., Databricks, Airflow, Snowflake, Vertex AI).
• Relevant AWS certifications in cloud architecture, AI/ML, generative AI, or related domains.
• Experience with agentic AI design patterns, including tool-use orchestration, autonomous workflow agents, or AI copilots.
• Proficiency in API design, microservices, and containerization (Docker, Kubernetes).
• Demonstrated ability to rapidly prototype new AI concepts and transition successful PoCs into production-grade systems.

#LI-XG1

If hired in NC, the base pay for this position is generally between $160,000 and $240,000. Actual starting base pay will be determined based on skills, experience, location, and other non-discriminatory factors permitted by law. For some roles, total compensation may also include variable incentives, bonuses, benefits, and/or other awards as outlined in the offer of employment.

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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