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Ml Data Associate Jobs in Atlanta, GA (NOW HIRING)

KPMG US

Senior Associate, AI Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

They are seeking a Senior Associate, AI Engineer to develop and test AI models, assist with data preparation for AI/ML model training, and integrate AI solutions into enterprise applications.

Munich Re

Data Scientist

Atlanta, GA · On-site +1

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join us in building AI/ML models that truly drive business value and make a measurable impact.

KPMG

Manager, AI Engineer

Atlanta, GA · On-site

... science, data science, engineering, or related field required; Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML ...

KPMG

Senior Associate, AI Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

KPMG is currently seeking a Senior Associate, AI Engineer to join our Advisory Services practice ... Minimum three years of recent professional or academic experience in AI/ML, data science, software ...

KPMG

Senior Associate, AI Engineer

Atlanta, GA · On-site

$87K - $188K/yr

KPMG is currently seeking a Senior Associate, AI Engineer to join our Advisory Services practice ... Minimum three years of recent professional or academic experience in AI/ML, data science, software ...

State Farm

Lead Data Scientist - Gen AI

Dunwoody, GA

Establish and leverage a network of associates with business domain and data expertise * Instill a business-oriented mindset that delivers business outcomes for State Farm's AI/ML portfolio * Assess ...

Deloitte

Senior Forward Deployed Engineer- AWS

Atlanta, GA · On-site

$100K - $138K/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

Lead Forward Deployed Engineer - AWS

Atlanta, GA · On-site

$98K - $129K/yr

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

Deloitte

Senior Forward Deployed Engineer- AWS

Atlanta, GA · On-site

$100K - $138K/yr

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

Deloitte

Forward Deployed Engineer- AWS

Atlanta, GA · 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 ...

Deloitte

Forward Deployed Engineer- AWS

Atlanta, GA · On-site

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

Deloitte

Lead Forward Deployed Engineer - AWS

Atlanta, GA · On-site

$98K - $129K/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 ...

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All JobsMl Data Associate JobsMl Data Associate Jobs in Atlanta, GA

Ml Data Associate information

See Atlanta, GA salary details

$55.3K

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$124K

How much do ml data associate jobs pay per year?

As of Aug 25, 2026, the average yearly pay for ml data associate in Atlanta, GA is $65,428.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,700.00 and $57,200.00 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 Atlanta, GA?

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Ml Data Associate jobs near you

Senior Associate, AI Engineer

Atlanta, GA • On-site

KPMG US
See more jobs at KPMG USexternal

$53.25 - $68.50/hr

Full-time

Re-posted 12 days ago

Job description

Job Summary:
KPMG is a leading advisory firm that offers opportunities for career advancement and personal development. They are seeking a Senior Associate, AI Engineer to develop and test AI models, assist with data preparation for AI/ML model training, and integrate AI solutions into enterprise applications.
Responsibilities:
• Develop GenAI / LLM applications and integrations using foundational models under the guidance of senior team members
• Develop and test AI models, conversational agents, and workflow automation components under the guidance of senior team members
• Assist with data preparation, transformation, and validation to support AI/ML model training and deployment
• Configure and integrate AI solutions into enterprise applications (CRM, ERP, collaboration tools) using cloud platforms
• Document processes, code, and technical workflows to support knowledge sharing and project continuity; collaborate with project teams to troubleshoot technical issues and ensure solutions meet client requirements
• Stay current on emerging AI tools and frameworks, experimenting and applying them to real-world client projects
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum three years of recent professional or academic experience in AI/ML, data science, software engineering, or cloud technologies
• Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field; Master's degree from an accredited college or university a plus
• Experience with at least one major cloud AI platform (Azure AI, AWS AI/Bedrock, or Google Cloud Vertex AI)
• Proficiency in Python or another programming language commonly used in AI/ML
• Familiarity with conversational AI frameworks (LLM's, chatbots, virtual assistants, agents) and APIs
• Strong analytical skills and attention to detail with the ability to work in a team-based, client-focused environment
• Ability to travel as required
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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