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Machine Learning Data Associate Jobs in Newnan, GA

Omnissa

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162K - $342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems ... Build andmaintainscalable data pipelines for model training, evaluation, andrealtime/batch ...

PrizePicks

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Partner with Data Science to build scalable logging and data pipelines. You will lead the creation ...

AEG

Staff Machine Learning Engineer

Atlanta, GA · On-site

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Partner with Data Science to build scalable logging and data pipelines. You will lead the creation ...

Varsity Tutors

Data Science Tutor

Atlanta, GA · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Carrollton, GA · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Bespoke Labs

Machine Learning Engineer

Carrollton, GA · On-site

Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...

Warnerbros

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Within the Data & Audience Platform (DAP) organization, our Machine Learning Engineering team builds the foundational AI/ML intelligence that powers identity, audience, advertising, and ...

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Machine Learning Data Associate information

See Newnan, GA salary details

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

As of Sep 13, 2026, the average hourly pay for machine learning data associate in Newnan, GA is $16.91, according to ZipRecruiter salary data. Most workers in this role earn between $13.89 and $18.03 per hour, depending on experience, location, and employer.

What is a machine learning data associate?

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 are the key skills and qualifications needed to thrive as a machine learning data associate?

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 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.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning Data Associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

What cities near Newnan, GA are hiring for Machine Learning Data Associate jobs?

Cities near Newnan, GA with the most Machine Learning Data Associate job openings:

Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in Newnan, GA as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $35,175 per year, or $16.9 per hour.

Staff Machine Learning Engineer

Atlanta, GA • On-site, Remote

Omnissa
See more jobs at Omnissaexternal

$162K - $342K/yr

Full-time

Medical, Retirement

Re-posted 24 days ago

Job description

Job Description:

We areOmnissa!
Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences. We integrate industry-leading solutions-including Unified Endpoint Management,Virtual Appsand Desktops, Digital Employee Experience, and Security & Compliance-into a seamless, autonomous workspace that adapts to how people work. Our platform boosts employee engagement whileoptimizingIT operations, security, and cost.
Guided by our Core Values-Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value-we'regrowing rapidly and committed to delivering meaningful impact. Ifyou'repassionate about shaping the future of work,we'dlove to hear from you.

AtOmnissa, we are committed tomaintaininga fair, consistent, and secure hiring process for all candidates. As part of this approach, we use standard interview and verification practices designed to ensure alignment and protect both candidates and the organization. These practices are applied thoughtfully and with respectforcandidate privacy.

What is the opportunity?

Our platform manages millions of devices across multiple operating systems, requiring exceptional performance, scalability, availability, and resilience. You will join theAI Platform Team, the group responsible for building foundational AI capabilities across theOmnissaproduct ecosystem.

As aStaff Machine Learning Engineer, you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors.You'llwork closely with engineering and product teams to operationalize models across ourcloudscaleenvironment while driving bestinclass ML engineering practices.You will own engineering initiatives end to end and help foster a culture of high ownership, continuous improvement, and engineering excellence. Here is a breakdown:

Responsibilities

  • Design, develop, and deploy machine learning models for classification, prediction, anomaly detection, and intelligent automation.

  • Build andmaintainscalable data pipelines for model training, evaluation, andrealtime/batch inference.

  • OptimizeML models and pipelines for performance, scalability, reliability, and cost efficiency.

  • Collaborate withcross functionalteams to integrate ML solutions into core platform features and services.

  • Conduct model experimentation, evaluation, and iteration using quantitative metrics and A/B testing as needed.

  • Implement model observability, monitoring, and drift detection to ensure production reliability.

  • Stay current with advancements in machine learning, AI, and LLM technologies, and apply them to product use cases.

What will you bring toOmnissa?

  • 5+ years of experience in machine learning engineering or data science roles.

  • Strongproficiencyin Python and ML frameworks (e.g.,PyTorch, TensorFlow,Scikitlearn).

  • Experience building and operating data processing workflows (batch or streaming) and working with cloud platforms (AWS, Azure, or GCP).

  • Solid understanding of machine learning algorithms, statistics, and model evaluation techniques.

  • Familiarity with containerization and orchestration technologies (Docker, Kubernetes).

  • Handson experience with Large Language Models (LLMs), including finetuning, prompt engineering, and deployment.

  • Knowledge oftext embedding models, and vector databases for Retrieval Augmented Generation (RAG) systems

  • Strongproblem-solvingskills and the ability to collaborate effectively in Agile teams.

  • Highly motivated, adaptable, and eager to learnnew technologies.

Preferred Skills

  • Experience with distributed computing frameworks (e.g., Spark, Ray).

  • Experience with orchestration frameworks (e.g.,LangChain/LangGraph) to build AI agents and multi-agent systems.

  • Experience building feature stores or working with vector databases.

  • Knowledge ofreal-timeinference architectures and model monitoring systems.

  • Experience developing scalable ML services via REST/gRPC.

Location:Mountain View, CA or Atlanta, GA
Location Type:hybrid
Travel Expectations:None
Education:Bachelor's Degree preferred, or equivalent combination of education and relevant professional experience.

Compensation: The typical base salary for this role is betweenUSD $162,512- $342,750per year and it may be eligible for participation in a corporate bonus program. Actual compensation offer may vary from posted hiring range based upon geographic location, work experience, education, skill level, or other relevant factors. In addition to competitive compensation,Omnissaoffers a variety of benefits such as employee ownership, health insurance, 401k with matching contributions, disability insurance,paid-timeoff, growth opportunities, and more.

Omnissais an EqualEmploymentOpportunitycompanyandProhibits Discrimination and Harassment of Any Kind:
Omnissa is committed to the principle of equal employment opportunity and to providing a work environment free of discrimination and harassment. All employment decisions atOmnissaare based on business needs, job requirements and individual qualifications, without regard to race, color, religion, ancestry, ethnicity, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past, present, or prospective service in the uniformed services, family medical history or genetic information, family or parental status, veteran status, or any other status protected by applicable laws or regulations in the locations where we operate.Omnissawill not tolerate discrimination or harassment based on any of these characteristics.Omnissawelcomes applicants of all ages.Omnissawill provide reasonable accommodations to applicants and employees who have protected disabilities consistent with applicable federal,stateand local law.

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