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

Gilead

Assoc Director, IT Data and AI

Raleigh, NC · Hybrid

Experience leading AI/ML delivery programs in Agile environments * Hands-on experience in data engineering, data science, or architecture * Strong understanding of AI/ML architectures and cloud ...

Gilead

Assoc Director, IT Data and AI

Raleigh, NC · Hybrid

Experience leading AI/ML delivery programs in Agile environments * Hands-on experience in data engineering, data science, or architecture * Strong understanding of AI/ML architectures and cloud ...

Deloitte

Lead Forward Deployed Engineer - AWS

Raleigh, NC

$99K - $131K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Senior Forward Deployed Engineer- AWS

Raleigh, NC

$101K - $139K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Deloitte

Forward Deployed Engineer- AWS

Raleigh, NC · On-site

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Pwc

Data Strategy-Manager

Raleigh, NC · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Governance- Manager

Raleigh, NC · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Red Hat, Inc.

Principal Data Analyst

Raleigh, NC · On-site

$125K - $180K/yr

Implement AI/ML-driven automation for enhanced data quality and standardization. * Consult data ... Spread across 40+ countries, our associates work flexibly across work environments, from in-office ...

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All JobsMl Data Associate JobsMl Data Associate Jobs in Raleigh, NC

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 Sep 13, 2026, the average yearly pay for ml data associate in Raleigh, NC is $66,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $57,800.00 per year, depending on experience, location, and employer.

What is an ml data associate?

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 are the key skills and qualifications needed to thrive as an ml data associate?

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 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 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.

How do I become an ML Data Associate?

To become an ML Data Associate, candidates typically need a high school diploma or equivalent, along with strong attention to detail and organizational skills. Familiarity with data management tools, basic understanding of machine learning concepts, and experience with data annotation or labeling are often required. Some roles may also require knowledge of programming languages like Python or experience with data annotation platforms.

What skills do you need for a machine learning data associate job?

A machine learning data associate needs strong analytical skills, attention to detail, and proficiency in data management tools like Excel, SQL, or Python. Knowledge of data cleaning, labeling, and basic understanding of machine learning concepts are also important for the role.

What are popular job titles related to Ml Data Associate jobs in Raleigh, NC?

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What job categories do people searching Ml Data Associate jobs in Raleigh, NC look for?

The top searched job categories for Ml Data Associate jobs in Raleigh, NC 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:

Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in Raleigh, NC as of June 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $66,067 per year, or $31.8 per hour.

AI Platform Director - Data Engineering

Raleigh, NC • On-site

First Citizens Bank
See more jobs at First Citizens Bankexternal

$245K/yr

Full-time

Re-posted 27 days ago

First Citizens Bank rating

7.3

Company rating: 7.3 out of 10

Based on 107 frontline employees who took The Breakroom Quiz

Job description

Overview
This is a remote role that may only be hired in the following location(s): North Carolina or Arizona
We are seeking an experienced Director to lead the AI platform engineering and enablement functions within our expanding Cloud Data and AI Platform organization. This role is instrumental in building, operationalizing, and governing the next-generation AI and machine learning ecosystem that powers advanced analytics and responsible AI adoption across the bank. You will own the end-to-end AI lifecycle-from data and model development to MLOps, deployment, governance, and responsible AI compliance in a regulated financial environment.
As a seasoned technology leader, you will bring your expertise in enterprise AI architecture, model operations, and platform engineering to partner with key business, technology, and governance stakeholders-ensuring AI initiatives are responsibly implemented, well-controlled, and deliver measurable value.
Responsibilities & Qualifications
AWS AI/ML Platform Ownership
  • Architect and lead AI/ML workloads on AWS including:
    • Amazon SageMaker (training, deployment, model registry)
    • AWS Bedrock (foundation models and GenAI use cases)
    • AWS Lambda, ECS, EKS for model serving
    • S3, Glue, Snowflake for data pipelines
  • Define enterprise standards for MLOps, feature stores, and model lifecycle management
  • Build and maintain integrations with enterprise platforms for data ingestion, metadata management, tokenization, and control evidence generation.
  • Continuously enhance the platform's automation, resilience, and observability, ensuring robust end-to-end telemetry for both model and data pipelines.
  • Collaborate with Enterprise Risk, Legal, Compliance, and Model Risk partners to embed Responsible AI principles and audit-ready control evidence directly into platform design.

Machine Learning & GenAI Execution
  • Oversee development of ML models across all business units including Fraud detection systems, Credit scoring and risk modeling, Customer segmentation and personalization, Liquidity related modeling etc.
  • Lead GenAI initiatives using LLMs for Document intelligence, AI copilots etc.

Data & Engineering Collaboration
  • Partner with data engineering teams to ensure high-quality, governed datasets
  • Define feature engineering and data product standards in Snowflake / data lake environments
  • Integrate real-time streaming data for low-latency decision systems

Model Governance & Risk Compliance
  • Define and enforce standards, patterns, and guardrails for model deployment, explainability, lineage, and monitoring in alignment with enterprise risk, compliance, and security frameworks.
  • Partner closely with leaders across Responsible AI Governance, AI Portfolio Management, AI Fluency & Engagement, and Applied Data Science & GenAI, in collaboration with enterprise risk partners, to implement a responsible AI framework that embeds audit-ready control evidence and governance mechanisms directly into the platform's core design to ensure the platform supports scalable, ethical, compliant, and high-impact AI delivery.
  • Implement model explainability (SHAP, LIME, interpretability frameworks)
  • Establish responsible AI policies (bias detection, fairness, auditability)

Team Building & Leadership
  • Develop and mentor engineering talent, championing Agile practices, continuous learning, and adoption of emerging AI and data engineering technologies.
  • Mentor senior technical leaders and establish engineering best practices
  • Oversee technical due diligence, onboarding, and management of strategic AI and GenAI vendors and tools, ensuring compatibility with enterprise architecture and control.

Bachelor's Degree and 8 years of experience in Information Technology including application development, support roles, and management.
OR
High School Diploma or GED and 12 years of experience in Information Technology including application development, support roles, and management.
Qualifications
  • Deep hands-on experience building production ML systems on AWS
  • 2+ years in AI/ML, data science, or data engineering leadership roles
  • Strong knowledge of:
    • Machine learning (XGBoost, deep learning, NLP, time series)
    • MLOps practices (CI/CD, model monitoring, drift detection)
    • Distributed systems and cloud architecture
  • Strong programming background in Python + SQL (Scala/Java a plus)
  • Experience working in regulated environments with model governance

Preferred Qualifications
  • Experience with Generative AI / LLM platforms (Bedrock, OpenAI, Claude APIs)
  • Experience in financial services, banking, fintech, or insurance
  • Familiarity with data platforms like Snowflake, Databricks

#LI-JM1
Additional Information
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.

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