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Deep Learning Ai Jobs in Georgetown, KY (NOW HIRING)

Varsity Tutors

Machine Learning Tutor

Lexington, KY · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...

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

Lexington, 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 ...

Toyota

Physical AI Senior Engineer

Georgetown, KY · On-site

$94K - $129K/yr

Build and optimize AI models for robust performance on industrial hardware, balancing latency ... Machine learning / deep learning * Robotics * Proficiency in Python, C++, ROS-based systems; strong ...

New

Varsity Tutors

Vibe Coding Tutor

Lexington, KY · Remote

$18 - $40/hr

Deep knowledge of AI-assisted software development using natural language prompts, iterative prompt ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

ChatGPT Tutor

Lexington, KY · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Cursor Tutor

Lexington, KY · Remote

$18 - $40/hr

Deep knowledge of Cursor AI-powered code editor features including intelligent code completion ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Showing results 1-20

All JobsDeep Learning Ai JobsDeep Learning Ai Jobs in Georgetown, KY

Deep Learning Ai information

See Georgetown, KY salary details

$9.9K

$75.7K

$126.4K

How much do deep learning ai jobs pay per year?

As of Aug 13, 2026, the average yearly pay for deep learning ai in Georgetown, KY is $75,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Deep Learning Ai vs Machine Learning Engineer?

AspectDeep Learning AiMachine Learning Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of neural networksDegree in Computer Science, Data Science, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, AI development teams, tech companies focusing on AI modelsSoftware development teams, data analysis projects across various industries
Industry UsagePrimarily in AI research, autonomous systems, NLP, computer visionAcross industries for predictive modeling, data analysis, automation

Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.

What are some common challenges faced by professionals working in deep learning AI, and how can they be addressed?

Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.

What are the key skills and qualifications needed to thrive as a deep learning AI engineer?

To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.

What is a deep learning AI professional?

Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.
What cities near Georgetown, KY are hiring for Deep Learning Ai jobs? Cities near Georgetown, KY with the most Deep Learning Ai job openings:
Deep Learning Ai jobs near you

Staff Machine Learning Engineer - Generative AI

Xometry

Lexington, KY • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Job description

Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk.

How You'll Contribute:

  • Lead with vision - Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation
  • Drive strategy - Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace
  • Build cutting-edge models - Develop and deploy large language and generative models for multimodal document processing and structured data extraction
  • Innovate across modalities - Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions
  • Engineer at scale - Create data pipelines and training workflows that can handle massive, complex datasets
  • Deploy in the cloud - Use AWS and other platforms to train, optimize, and deploy models into production at scale
  • Collaborate widely - Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows
  • Mentor and grow - Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team
  • Stay ahead - Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production

What You'll Bring to Xometry:

  • Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs)
  • Hands-on experience with multimodal data (text, images, 3D)
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy)
  • Solid grounding in probability, statistics, and optimization for generative modeling
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred)
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred)
  • A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders
  • Background in manufacturing, supply chain, or related industries is a plus - but curiosity and drive matter more
  • Must be a U.S. Citizen or Green Card holder (ITAR compliance)

We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

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About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

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