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Data Curation Ai Machine Learning Jobs in Georgia

Murata Americas

AI and Data Solutions Manager

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Lead planning, coordination, execution, and delivery of AI, machine learning, and data solution initiatives across the organization. * Design, develop, test, deploy, and support practical AI/ML ...

Murata America

AI and Data Solutions Manager

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Lead planning, coordination, execution, and delivery of AI, machine learning, and data solution initiatives across the organization. * Design, develop, test, deploy, and support practical AI/ML ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

... data quality across research and production pipelines Leverage AI coding and ideation tools to ... and data curation pipelines. Knowledge of software engineering best practices including version ...

TonicAI

Staff AI/Machine Learning Engineer

Atlanta, GA · On-site

$200 - $260/hr

About Tonic.ai Tonic.ai builds the data infrastructure behind modern AI. Our products de-identify real enterprise data for safe use in training and evaluation, and generate synthetic environments ...

R2 Technologies Corporation

Data Analyst

Alpharetta, GA · On-site

Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field. * 3 years of experience applying data science, AI/machine learning, or analytics techniques to business ...

Ksb

Machine Learning Engineer

Grovetown, GA · On-site

You'll work at the intersection of machine learning and the physical world to build AI systems that learn from real industrial data and connect with the engineering models behind them. The role lives ...

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are ... You will work closely with AI/ML researchers, data engineers, and product teams to design ...

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Identify, document, and resolve data issues across ingestion, transformation, and analytics layers AI & Machine Learning QA * Implement QA testing strategies for AI and machine learning models

Equifax, Inc.

Machine Learning Engineer

Atlanta, GA · On-site

  • Medical

  • Retirement

  • PTO

Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex ... AI, ML, and data engineering * Participate in peer design and code reviews * Show initiative to ...

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Data Curation Ai Machine Learning information

What are the key skills and qualifications needed to thrive as a data curation AI machine learning specialist?

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What is a data curation AI machine learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

What are popular job titles related to Data Curation Ai Machine Learning jobs in Georgia?

For Data Curation Ai Machine Learning jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Curation Ai Machine Learning jobs in Georgia look for?

The top searched job categories for Data Curation Ai Machine Learning jobs in Georgia are:

What cities in Georgia are hiring for Data Curation Ai Machine Learning jobs?

Cities in Georgia with the most Data Curation Ai Machine Learning job openings:

Data Curation Ai Machine Learning jobs near you

AI and Data Solutions Manager

Murata Electronics North America

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Job description

For 80 years, Murata Electronics has been a tireless innovator, committed to developing technologies that profoundly change the world around us. Our solutions are inside more state-of-the-art products than you may imagine. Additionally, we enable other global companies to turn their visions into reality - from mobile communications to computers and networking, medical devices to power solutions, smart home technologies to automotive electronics. Our past innovations drive today's technology - and our present innovations are shaping tomorrow's.

Whatever the future holds, you can be sure that Murata will be a part of it.

Why Consider This Job Opportunity

The AI and Data Solutions Manager leads the delivery, enablement, and continuous improvement of enterprise AI, machine learning (ML), and data solutions. This role partners with IT leadership, business stakeholders, and technical teams to identify high-value opportunities and deliver scalable solutions that improve operational efficiency, user adoption, and measurable business outcomes.

This is a hands-on technical leadership role that combines solution development, project coordination, data platform knowledge, and organizational enablement. The ideal candidate has practical experience building and deploying production AI/ML solutions, working with enterprise data platforms and cloud technologies, and translating business needs into secure, supportable, adoption-ready solutions.

Workplace Policy

Hybrid from Atlanta, GA or Carrollton, TX  

What To Expect (Essential Job Responsibilities)
  • Lead planning, coordination, execution, and delivery of AI, machine learning, and data solution initiatives across the organization.
  • Design, develop, test, deploy, and support practical AI/ML solutions, including prototypes, pilots, and production-ready applications that deliver business value.
  • Partner with business stakeholders to identify opportunities, define use cases, document requirements, and translate business needs into actionable solution plans.
  • Monitor solution performance, adoption, and business impact, identifying opportunities for continuous improvement.
  • Collaborate with IT leadership, data teams, application teams, security, and global partners to align solutions with enterprise architecture, data governance, and security standards.
  • Contribute to the development and governance of enterprise AI and data practices, including standards, guardrails, responsible AI practices, documentation, and lifecycle management.
  • Promote adoption of approved AI and data platforms through training support, use-case development, stakeholder communication, and practical user guidance.
  • Evaluate and recommend tools, platforms, architectures, and integration approaches that align with business requirements and enterprise standards.
  • Support organizational AI, data solution roadmaps, implement plans and delivery timelines in partnership with IT leadership and Business Team leadership.
Miscellaneous Job Responsibilities
  • Provide mentorship and knowledge sharing to internal team members to strengthen AI, machine learning, data platform, and solution delivery capabilities.
  • Stay current on emerging AI, automation, cloud, and data platform capabilities, recommending practical applications where they may create business value.
  • Assist with troubleshooting, issue resolution, enhancement requests, and post-implementation support for approved AI and data solutions.
  • Support special projects, department initiatives, and other duties as assigned.
What Is Required (Qualifications)
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Artificial Intelligence, Engineering, or a related technical field.
  • 5+ years of experience designing, developing, and deploying production-grade AI/ML applications, predictive models, and intelligent automation solutions using Python, including integration with LLMs, APIs, and MCP enabled tools or services.
  • 3+ years of hands-on experience or technical leadership in data engineering, including designing and operating utilizing AWS, Snowflake, and SQL based data services to support analytics and AI/ML workloads.
  • Experience working within enterprise standards for security, data governance, access controls, auditability, and responsible technology use.
  • Experience leading or coordinating cross-functional technical initiatives from requirements gathering through implementation, adoption, and ongoing support.
  • Ability to work independently, manage competing priorities, and deliver high-quality work in a collaborative environment.
  • Strong analytical, problem-solving, documentation, communication, and presentation skills, with the ability to explain technical concepts clearly to business stakeholders.
How To Stand Out (Preferred Qualifications)
  • Master's degree or professional certification in related technology, analytics, cloud, or AI discipline.
  • Experience leading development teams, cross-functional project teams, or technology initiatives.
  • Experience with designing and developing Agentic AI applications.
  • Experience with Microsoft Azure, Copilot Studio, Power Platform, or Microsoft 365 AI enablement capabilities.
  • Experience with AWS SageMaker, Amazon Bedrock, MLOps practices, and APIs.
  • Experience supporting AI adoption and organizational enablement programs.
  • Familiarity with AI governance, responsible AI practices, data governance, and solution lifecycle management.
  • Experience in electronics manufacturing, sales and business development, business operations, digital experience, supply chain, or related industry domains.
Perks
  • Comprehensive benefits package including medical, dental, and vision insurance.
  • Generous Paid Time Off including paid holidays and floating holidays.
  • 401(k) employer match on retirement planning.
  • Hybrid working schedule for eligible positions.
  • Tuition reimbursement on approved programs.
  • Flexible and health spending accounts.
  • Talent Development program.

Imagine the possibilities as a member of Murata's innovative global team.

                                                                Be an innovator - Join Murata!                                                                  
    Murata offers competitive compensation and comprehensive benefits.
    Equal Opportunity/Affirmative Action Employer - M/F/Disabilities/Veterans

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