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Machine Learning Data Associate Jobs in Fort Mill, SC

Vangard, Inc.

Senior AI/ML Engineer

Charlotte, NC · On-site

$102.10K - $140.20K/yr

We are seeking an experienced Senior Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model ...

Vanguard Group

Senior AI/ML Engineer

Charlotte, NC · On-site

$102.10K - $140.20K/yr

We are seeking an experienced Senior Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model ...

Deloitte

Databricks Data Engineer

Charlotte, NC · On-site

$111.80K - $134.30K/yr

... machine learning data pipelines • Experience working in consulting or client service delivery environments Company : Deloitte is a business consulting company that offers audit, consulting ...

New

The Hartford

Senior AI Machine Learning Engineer

Charlotte, NC · Hybrid

$119.60K - $157.70K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ...

Staffingine LLC

Data Scientist

Charlotte, NC · On-site

Expertise in machine learning statistical modelling and data thoughtfulness to develop and implement advanced algorithms and thoughtful solutions * Manage end-to-end data science projects ensuring ...

Datum Software, Inc.

Data Scientist

Charlotte, NC

Design and implement endtoend machine learning ML pipelines using services such as Amazon SageMaker AWS Glue AWS Lambda and Amazon S3 Perform data collection cleaning and feature engineering to ...

Bank of America

Data Scientist I

Charlotte, NC · On-site

Responsibilities : • Frame abstract business problems using advanced data science and machine learning algorithms • Work with stakeholders throughout the organization to identify opportunities ...

IFab Corporation

Data Scientist

Gastonia, NC · On-site

Develop and implement machine learning models to solve business problems * Generate insights and ... Automate data processes and improve data pipelines for efficiency * Ensure data quality, integrity ...

Industrial Fabricators

Data Scientist

Gastonia, NC · On-site

Develop and implement machine learning models to solve business problems * Generate insights and ... Automate data processes and improve data pipelines for efficiency * Ensure data quality, integrity ...

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How much do machine learning data associate jobs pay per hour?

As of May 31, 2026, the average hourly pay for machine learning data associate in Fort Mill, SC is $16.47, according to ZipRecruiter salary data. Most workers in this role earn between $13.51 and $17.55 per hour, depending on experience, location, and employer.

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

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a Machine Learning Data Associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What are Machine Learning Data Associates?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

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

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

What cities near Fort Mill, SC are hiring for Machine Learning Data Associate jobs? Cities near Fort Mill, SC with the most Machine Learning Data Associate job openings:
Machine Learning Data Associate jobs near you
Senior AI/ML Engineer

Senior AI/ML Engineer

Vangard, Inc.

Charlotte, NC • On-site

$102.10K - $140.20K/yr

Full-time

Posted 21 days ago

Job description

Overview:

We are seeking an experienced Senior Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model pipelines, and building scalable AI/ML solutions, including large language models (LLMs). The ideal candidate will possess a robust background in traditional machine learning, deep learning, and significant experience with large datasets and cloud-based AI services.

Responsibilities:

  • Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability.

  • Integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions.

  • Employ experimental methodologies, statistics, and machine learning concepts to create self-running AI systems for predictive modeling.

  • Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy.

  • Perform data discovery and analysis of raw data sources, applying business context to meet model development needs.

  • Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis.

  • Engage with internal stakeholders to understand business processes and translate requirements into analytical approaches.

  • Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts.

  • Serve as a domain expert in machine learning engineering on cross-functional teams for significant initiatives.

  • Stay updated with the latest advancements in AI/ML and apply them to real-world challenges.

  • Participate in special projects and additional duties as assigned.

Qualifications:

  • Undergraduate degree or equivalent experience; a graduate degree is preferred.

  • Minimum of 8 years of relevant work experience.

  • At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).

  • Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.

  • Strong understanding of cloud technologies, including AWS and Azure, and experience with NoSQL databases.

  • Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.

  • Experience with API design and development is a plus.

  • Solid understanding of software engineering principles, including design patterns, testing, security, and version control.

  • Knowledge of Machine Learning Development Lifecycle (MDLC) best practices and protocols.

  • Understanding of solution architecture for building end-to-end machine learning data pipelines.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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