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Data Curation Ai Machine Learning Jobs in Georgia

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 ...

United Airlines

Data Scientist

Atlanta, GA

$70K - $120K/yr

Your Role The GenAI Engineer / Data Scientist role focuses on designing, developing, deploying, and ... Key Responsibilities AI & Machine Learning Development Develop and implement: Generative AI ...

New

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

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 ...

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

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 ...

Dolby Laboratories, Inc.

Data Research Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Investigate heterogenous data management techniques and polystore systems, including the application of AI & machine learning techniques to foundational data management problems including data ...

Dolby

Data Research Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Investigate heterogenous data management techniques and polystore systems, including the application of AI & machine learning techniques to foundational data management problems including data ...

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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, and why are they important?

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/Machine Learning Engineer

AI/Machine Learning Engineer

Metas Solutions

Decatur, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

About Us:

Metas Solutions excels in providing strategic consulting, program management, and data-driven analytics to federal public health agencies. Our expertise enhances health systems and delivers measurable outcomes, helping agencies achieve their mission. We collaborate with federal partners to implement agile solutions for national public health initiatives, driving impactful changes through cutting-edge programs that strengthen communities and promote well-being. See www.metassolutions.com for further details about us and careers with Metas.

Job Description:

Metas Solutions has an "opening" for a talented AI/Machine Learning Engineer. True innovation happens where machine learning meets cloud technology and real-world impact. As an AI/ML Engineer, you'll join a collaborative team of technologists, data scientists, and stakeholders to tackle meaningful challenges using ML, Generative AI, and modern tools.

You'll contribute to building and scaling intelligent systems-from core ML models to chatbot and Retrieval-Augmented Generation (RAG) applications. With strong skills in Python, SQL, and cloud platforms like Azure, you'll help deliver practical, forward-looking solutions in dynamic environments.

Bring your technical expertise, curiosity, and customer-first mindset to help shape the future of intelligent systems across industries.

Responsibilities:

  • Design, develop, and deploy scalable machine learning models and AI-driven solutions to address complex business and operational challenges.
  • Build and enhance Generative AI, LLM, and Retrieval-Augmented Generation (RAG) applications, including chatbot and conversational AI capabilities.
  • Develop and optimize data pipelines, feature engineering workflows, and large-scale data processing solutions using Python, SQL and Spark.
  • Implement and support MLOps practices, including model training, deployment, monitoring, and lifecycle management using tools such as MLflow and Azure cloud services.
  • Collaborate with cross-functional teams and stakeholders to deliver customer-focused AI/ML solutions while staying current on emerging technologies and industry best practices.

Qualifications:

  • 3+ years of experience designing, developing, and deploying machine learning models
  • 3+ years of experience with Generative AI, LLMs, or RAG applications
  • 4+ years of hands-on experience with Python for ML and data engineering
  • Experience with SQL for data manipulation and feature engineering
  • Experience with big data tools such as Apache Spark
  • Experience with Databricks and MLOps tools like MLflow
  • Experience with cloud, preferably in Azure
  • Ability to exhibit strong communication and customer-facing skills
  • Ability to thrive both independently and in cross-functional teams
  • Ability to solve problems and stay current with emerging ML trends

Additional Qualifications:

  • Experience with full-stack development or deploying end-to-end ML applications
  • Experience with chatbot development or conversational AI
  • Experience fine-tuning large models
  • Experience with deploying ML solutions using MLOps pipelines
  • Knowledge of Agile workflows and tools like JIRA

Security Requirements:

  • Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period
  • Market competitive salary, commensurate with experience and education
  • Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities

We are an Equal Opportunity Employer/Veterans/Disabled

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