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Data Curation Ai Machine Learning Jobs in Georgia

Speria

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $160/hr

We aim to create software that delivers real-time data to the entire supply chain that allows ... Familiarity with LLMs, generative AI, and agent-based systems * MS may qualify with 1-2 years; BS ...

Dolby

Sr. Data Researcher Engineer

Atlanta, GA · On-site

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?

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.

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

Data Curation Ai Machine Learning jobs near you

Data Science Engineer (Python & Databricks) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 12 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Data Science Engineer (Python & Databricks)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a talented Data Science Engineer to leverage Python and Databricks for building machine learning solutions. This role focuses on developing data-driven insights and models within a scalable Spark environment.
Key Responsibilities
  • Develop data science solutions using Python and Databricks for analytics and ML workflows.
  • Build and optimize Spark-based data pipelines to support machine learning model training.
  • Collaborate with data scientists to implement and deploy ML models in production.
  • Analyze large datasets to extract actionable insights using Python and Spark tools.
  • Ensure scalability and performance of data science workflows on Databricks clusters.
  • Monitor and refine ML solutions to maintain accuracy and efficiency over time.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Data Science Engineer with Python and Databricks.
  • Proficiency in building ML models and data pipelines using Spark on Databricks.
  • Experience with Python for data analysis, modeling, and pipeline development.
  • Strong understanding of data science and machine learning integration in distributed systems.

Preferred Qualifications
  • Familiarity with advanced Databricks features like Delta Lake or MLflow for ML workflows.
  • Exposure to cloud platforms like AWS or Azure for hosting Databricks environments.
  • Knowledge of statistical modeling or deep learning frameworks like TensorFlow.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Data Science Engineer, Python, Databricks, Spark, Machine Learning

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