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Edge Ai Machine Learning Jobs in Kentucky (NOW HIRING)

Galls

Data Scientist

Lexington, KY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Crowe LLP

Machine Learning Engineer

Lexington, KY

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

New

Galls

Data Scientist

Lexington, KY

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Velaura AI, Inc.

$200 - $500/hr

  • Medical

  • Dental

  • Vision

  • PTO

Experience with AI, machine learning, or edge AI hardware, especially tensor data-movement patterns and tiling strategies. * Familiarity with robotics, drones, autonomous vehicles, or industrial ...

New

General Motors

$119 - $151/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

## Machine Learning Engineer, AI Inference Solutions (University Grad)Applyremote type ... What Will Give You a Competitive Edge (Preferred Qualifications)*** Internship, research, or ...

New

AI Chopping Block

$140 - $200/hr

You will work closely with AI engineers, researchers, and product engineers to turn models into ... Experience building ML infrastructure, platforms, or production machine learning systems

New

Crowe LLP

Machine Learning Intern

Louisville, KY

$27 - $42/hr

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can ...

New

Crowe LLP

Machine Learning Intern

Lexington, KY

$27 - $42/hr

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can ...

New

Crowe LLP

Machine Learning Intern

Louisville, KY

$27 - $42/hr

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can ...

New

Crowe LLP

Machine Learning Intern

Lexington, KY

$27 - $42/hr

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can ...

New

Bespoke Labs

Machine Learning Engineer

Frankfort, KY · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Covington, KY · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Innomium

$150 - $210/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our work spans language models, AI agents, computer vision, retrieval systems, cloud and edge ... The Role As a Machine Learning Engineer in computer vision, you will own vision work from data and ...

New

Bespoke Labs

Machine Learning Engineer

Louisville, KY · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

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Edge Ai Machine Learning information

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

How to become an edge AI machine learning engineer?

To become an edge AI machine learning engineer, develop strong skills in machine learning, embedded systems, and programming languages like Python and C++. Gain experience with hardware platforms such as NVIDIA Jetson or Raspberry Pi, and learn to optimize models for low-power, resource-constrained environments. Earning certifications in AI, embedded systems, or IoT can also enhance your qualifications.

What are popular job titles related to Edge Ai Machine Learning jobs in Kentucky?

For Edge Ai Machine Learning jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Edge Ai Machine Learning jobs in Kentucky look for?

The top searched job categories for Edge Ai Machine Learning jobs in Kentucky are:

What cities in Kentucky are hiring for Edge Ai Machine Learning jobs?

Cities in Kentucky with the most Edge Ai Machine Learning job openings:

Edge Ai Machine Learning jobs near you

Data Scientist

Galls

Lexington, KY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Galls rating

5.4

Company rating: 5.4 out of 10

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

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