Translate business challenges into structured AI, machine learning, and data science initiatives ... Support the adoption and integration of AI-driven tools, workflows, and automation capabilities ...
Quick apply
Translate business challenges into structured AI, machine learning, and data science initiatives ... Support the adoption and integration of AI-driven tools, workflows, and automation capabilities ...
In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...
Quick apply
In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...
AI/ML Data Contributor
Louisville, KY · On-site
In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...
AI/ML Data Contributor
Louisville, KY · On-site
In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...
AI/ML Data Contributor
Louisville, KY · On-site
In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...
Quick apply
AI/ML Data Contributor
Louisville, KY · On-site
In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...
In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...
In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...
AI/ML Data Contributor
Louisville, KY · On-site
In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...
AI/ML Data Contributor
Louisville, KY · On-site
In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...
AI/ML Data Contributor
Louisville, KY · On-site
In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...
AI/ML Data Contributor
Louisville, KY · On-site
In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
Machine Learning Tutor
Lexington, KY · Remote
$18 - $40/hr
... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Lexington, KY · Remote
$18 - $40/hr
... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
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?
| Aspect | Data Curation Ai Machine Learning | Data Analyst |
|---|---|---|
| Primary Focus | Preparing and managing data for AI and ML models | Analyzing data to generate business insights |
| Skills Required | Data management, programming, understanding of AI/ML algorithms | Statistical analysis, data visualization, Excel, SQL |
| Tools Used | Python, R, SQL, data cleaning tools | Excel, Tableau, SQL, statistical software |
| Work Environment | Data science teams, AI/ML projects, tech companies | Business 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 Kentucky? For Data Curation Ai Machine Learning jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Curation Ai Machine Learning jobs in Kentucky look for? The top searched job categories for Data Curation Ai Machine Learning jobs in Kentucky are:
What cities in Kentucky are hiring for Data Curation Ai Machine Learning jobs? Cities in Kentucky with the most Data Curation Ai Machine Learning job openings:
Galls rating
5.4
Based on 14 frontline employees who took The Breakroom Quiz
Job description
GALLS, LLC is the largest and fastest growing supplier of uniforms and equipment to public safety professionals, with a national presence in more than 80 locations. With over 50 years in the industry, it is easy to see why. We are PROUD to serve America’s public safety professionals by providing the broadest selection of uniforms, equipment, and solutions combined with great customer service.
As an ecommerce-driven business operating in a fast-moving, always-on environment, we are seeking a highly technical and commercially minded AI/ML Data Scientist to build intelligent agents, automation systems, and scalable workflows that can continuously monitor, analyze, and execute business processes at scale. The objective is to develop intelligent, data-driven capabilities that enable the business to operate more efficiently, proactively, and intelligently 24/7.
WHAT YOU'LL DO
This role combines hands-on AI/ML model development, data engineering, AI architecture, analytics, and strategic business problem-solving. The ideal candidate will design and implement intelligent systems that improve operational efficiency, automate workflows, optimize pricing and merchandising, enhance financial analysis, and support business growth initiatives.
You will work closely with cross-functional teams across Ecommerce B2C/B2B cycles to build practical AI solutions leveraging modern machine learning, LLMs, Retrieval Augmented Generation (RAG), agentic AI systems, and advanced analytics frameworks.
This role offers the opportunity to take ownership of enterprise AI initiatives while building scalable systems that directly impact business performance.
Key Responsibilities
AI Strategy & Intelligent Automation
- Lead the development and execution of scalable AI and automation initiatives across the business
- Identify opportunities to improve operational efficiency, decision-making, and business performance through intelligent, data-driven solutions
- Design and implement systems leveraging LLMs, RAG, agentic AI frameworks, knowledge graphs, and advanced machine learning techniques
- Build AI agents and autonomous workflows capable of supporting a 24/7 ecommerce operation
- Research, evaluate, and implement emerging AI technologies, frameworks, and methodologies
AI/ML Modeling & Solution Development
- Develop, train, validate, and deploy machine learning, NLP, and GenAI models for operational and commercial use cases
- Apply machine learning techniques including forecasting, optimization, recommendation systems, anomaly detection, and predictive analytics
- Perform feature engineering, experimentation, model evaluation, benchmarking, and performance optimization
- Support the continuous improvement, scalability, and reliability of AI/ML systems and analytics solutions
- Establish evaluation and monitoring frameworks for AI and GenAI model performance
Data Engineering & Enterprise Analytics
- Build and maintain scalable data pipelines, ingestion systems, and automation workflows
- Develop scripts and processes for data scraping, collection, cleansing, normalization, and enrichment
- Integrate and centralize data from APIs, ecommerce platforms, ERP systems, databases, and third-party providers
- Ensure enterprise data is reliable, accessible, and structured for analytics, reporting, and intelligent automation initiatives
- Deliver analytics, dashboards, forecasting models, and reporting solutions supporting pricing, finance, merchandising, operations, inventory, and growth initiatives
Cross-Functional Collaboration
- Partner with stakeholders across Ecommerce, Operations, Finance, Compliance, Legal, Merchandising, Risk, and IT to deliver scalable AI and analytics solutions
- Translate business challenges into structured AI, machine learning, and data science initiatives
- Support the adoption and integration of AI-driven tools, workflows, and automation capabilities across the organization
- Communicate technical findings, insights, and recommendations clearly to both technical and non-technical stakeholders
Technical Leadership & Best Practices
- Contribute to the design and evolution of scalable AI, data, and analytics architectures
- Establish best practices for model development, deployment, governance, experimentation, and monitoring
- Ensure adherence to SDLC standards, documentation, version control, and software engineering best practices
- Collaborate with Data Engineering and ML Engineering teams to support production deployment and operational scalability
- Stay current with advancements in AI, machine learning, data engineering, and intelligent automation technologies
WHAT YOU BRING
- Master’s or PhD degree in Computer Science, Machine Learning, Engineering, or another highly quantitative discipline
- 5+ years of hands-on experience building AI/ML/NLP solutions and applying statistical analysis to solve complex business problems
- Strong programming skills in Python and SQL, with experience developing scalable production-ready solutions
- Experience designing and deploying systems leveraging LLMs, RAG pipelines, agentic AI frameworks, vector databases, and semantic search
- Experience with modern AI/ML frameworks and tooling such as LangChain, LangGraph, CrewAI, OpenAI SDK, Hugging Face, PyTorch, and related ecosystems
- Experience working with data pipelines, APIs, ETL workflows, and cloud-based data platforms
- Familiarity with vector stores, graph databases, SPARQL, Linux environments, and modern software engineering practices
- Experience with experimentation, benchmarking, model evaluation, and LLM performance assessment methodologies
- Strong understanding of SDLC principles, Git/version control workflows, and scalable software architecture
- Experience supporting ecommerce, B2B/B2C operations, merchandising, pricing, finance, fraud/risk, or operational analytics initiatives
- Strong analytical, communication, problem-solving, and stakeholder management skills
WHAT YOU SEND OUR WAY
- Your resume, highlighting your education, experience, and skills
WHAT WE OFFER
- Excellent medical/dental and vision coverage—Eligible 1st day of the month after start date
- 401(k) retirement plan with company contribution (because you will retire someday)
- Flexible benefits—choose what you like, ignore the rest
- Generous employee discount
- Vacation and Personal Time
- Paid Holidays
- Tuition reimbursement
- Daily Pay: up to 50% of your pay
EOE/Disability/Veterans
About Galls
Sourced by ZipRecruiter
Industry
Public safety statistics centers and offices
Company size
1,001 - 5,000 Employees
Headquarters location
Lexington, KY, US
Year founded
1967