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Pytorch Jobs in Kentucky (NOW HIRING)

$99K - $133K/yr

AI/ML frameworks (PyTorch, TensorFlow, JAX, Triton, vLLM) * HPC runtimes and communication libraries (MPI, RCCL/NCCL, UCX, Libfabric) * Linux kernel, GPU drivers, or accelerator firmware

$206K - $356K/yr

Hands on experience with ML frameworks (PyTorch, JAX, CoreML) At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to ...

$89K - $120K/yr

In the last decade, Python has become the de-facto programming language for practitioners in AI, data science and HPC, through popular frameworks such as NumPy, SciPy, TensorFlow and PyTorch. These ...

Experience with ML libraries and frameworks such as Scikit‑learn, TensorFlow, PyTorch, XGBoost, or similar. * Experience with SQL and data manipulation techniques. * Familiarity with cloud ...

Design, develop, and deploy production‑grade models using modern ML frameworks such as PyTorch , ensuring scalability and reliability in high‑traffic environments * Build and deploy production AI ...

$77K - $105K/yr

Hands‑on experience with PyTorch and related Python libraries * Experience with unsupervised learning including clustering algorithms and manifold learning * Strong writing and presentation skills ...

Python fluently, PyTorch fluently, and enough systems sense to know why your training run is slow. * You design experiments. You state the hypothesis, run the ablation, and report the result that ...

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems--designed to take ideas from ...

$137K - $196K/yr

Strong coding skills in Python and frameworks like TensorFlow and PyTorch; experienced with LLMs (e.g., GPT, Gemini, Claude) including prompt engineering and optimization. * Scalable Deployment ...

$170K - $220K/yr

Familiarity with tools such as OpenCV, PyTorch, TensorFlow, and CUDA. * Experience with data engineering practices and management of large datasets. * Experience preparing technical deliverables such ...

$151K/yr

Experience with machine learning frameworks (e.g., JAX or PyTorch). Preferred qualifications: * Master's degree or PhD in Computer Science or related technical fields. * Publication in journals or ...

New

$177K - $216K/yr

Design, train, evaluate, and optimize machine learning and deep learning models using PyTorch, TensorFlow, and Keras. * Leverage the Hugging Face Transformers library and model hub to develop state ...

Contributions to major open-source projects (PyTorch, TensorFlow, JAX, or equivalents) * Systems built that span research prototypes through deployable implementations * Possess deep knowledge of ...

New

Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments * Hands-on experience applying deep learning on time series data * Strong ...

Integrate with existing ML frameworks (e.g., PyTorch, JAX, Triton). * Build and maintain test infrastructure to ensure compiler correctness and performance Qualifications: * Master's degree in ...

Hands-on experience with AI / ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, etc. * Strong knowledge of MLOps, cloud platforms (AWS, GCP, Azure), and scalable ...

$170K - $240K/yr

Strong programming skills in Python, with proficiency in frameworks such as,PyTorch (preferred), TensorFlow, or similar * Experience with distributed computing, GPU computing, and cloud environments ...

Expertise with multimodal training frameworks such as PyTorch, • • • • • • NeMo, JAX, or Hugging Face Transformers. * Experience building or working with high‑throughput data pipelines ...

$50K - $75K/yr

Experience in developing machine learning models using Pytorch, TensorFlow, and/or other relevant packages/platforms. Required Documents * Cover Letter * Curriculum Vitae #J-18808-Ljbffr

Showing results 41-60

Pytorch information

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What are the key skills and qualifications needed to thrive in the PyTorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What are popular job titles related to Pytorch jobs in Kentucky?

For Pytorch jobs in Kentucky, the most frequently searched job titles are:

Infographic showing various Pytorch job openings in Kentucky as of August 2026, with employment types broken down into 2% Internship, 88% Full Time, 7% Part Time, and 3% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Manufacturing Innovation Advanced Technology

Georgetown, KY • On-site

K
Construction • 201 - 500 employees

$60 - $62/hr

Other

Posted 11 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Manufacturing Innovation Advanced Technology

Georgetown, KY, US

4 days ago Requisition ID: 1128

Salary Range: $60.00 To $62.00 Hourly

Manufacturing Innovation – Advanced Technology Engineer

Machine Vision & Edge AI

1507474 Position Overview

We are seeking an experienced Advanced Technology Engineer specializing in Machine Vision, Computer Vision, and Edge AI to develop and deploy next-generation inspection technologies within high-volume manufacturing environments.

This position will focus on developing production-ready machine learning and computer vision solutions for automated quality inspection. The ideal candidate will have hands‑on experience developing AI vision models, deploying them to edge hardware, and integrating vision systems with PLCs and industrial automation equipment.

This role will also lead advanced technology projects from initial concept and testing through production implementation.

Key Responsibilities

Develop and deploy machine learning and computer vision models for defect detection, object detection, classification, and segmentation.

Develop production‑grade AI solutions for automated manufacturing inspection systems.

Accelerate model development using synthetic data, active learning, data augmentation, and domain randomization.

Optimize AI models for real‑time inference on edge and embedded hardware, including NVIDIA Jetson and Intel accelerators.

Integrate machine vision systems with PLCs, encoders, triggers, cameras, sensors, and industrial automation equipment.

Support industrial communication protocols including OPC‑UA, MQTT, and REST.

Develop solutions using Python and C++ and machine learning frameworks such as PyTorch and TensorFlow.

Deploy and manage applications using Docker, Kubernetes, ONNX Runtime, and TensorRT.

Establish model version control, monitoring, rollback, and retraining processes.

Monitor inspection accuracy, latency, model drift, false positives, and false negatives.

Lead data collection, image labeling, validation, and model‑quality activities.

Optimize vision systems for changing lighting, optics, surface conditions, and production speeds.

Support calibration and Measurement System Analysis (MSA) activities.

Troubleshoot vision and inspection failures and perform root‑cause analysis.

Lead advanced technology projects from concept through manufacturing launch.

Develop project schedules, scopes of work, milestones, punch lists, and status reports.

Evaluate new technologies through manufacturing trials and develop business cases for implementation.

Coordinate with manufacturing, engineering, automation, IT, vendors, and other technical teams.

Support technology deployments at manufacturing facilities throughout North America.

Required Qualifications

Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, Information Technology, or a related technical field.

5+ years of experience with industrial machine vision, computer vision, and/or Edge AI deployment.

Strong programming experience with Python and C++.

Experience with machine learning frameworks such as PyTorch or TensorFlow.

  • Classification
  • Semantic or instance segmentation

Experience integrating machine vision systems with PLC‑controlled manufacturing equipment.

Knowledge of industrial communication technologies such as OPC‑UA and MQTT.

Experience with industrial cameras, lighting, optics, and trigger‑based image acquisition.

Experience deploying AI/ML models to edge or embedded hardware.

Familiarity with NVIDIA Jetson, TensorRT, ONNX Runtime, or similar technologies.

Experience with Docker and containerized software deployment.

Familiarity with Kubernetes or similar orchestration technologies.

Experience managing the complete machine learning lifecycle, including data collection, labeling, validation, deployment, monitoring, and retraining.

Experience balancing inspection accuracy, false‑positive rates, and quality flow‑out risk.

Ability to manage technical projects involving internal teams, vendors, and contractors.

Ability to travel throughout North America, including Canada and Mexico, with potential international travel to Japan.

Preferred Qualifications

Master's degree in Engineering, Computer Science, AI/ML, or another related technical discipline.

Experience developing AI or machine vision solutions within automotive or high‑volume manufacturing.

Experience with high‑speed inline automated inspection systems.

Experience with synthetic data generation, including GANs, VAEs, NeRFs, Blender, or domain randomization.

Knowledge of IIoT architectures and industrial data pipelines.

Experience with robotics, including operation, programming/teaching, maintenance, and safety.

Experience deploying manufacturing equipment from development through production launch.

Knowledge of PFMEA, quality control plans, MSA, and manufacturing quality systems.

Academic or applied research experience involving emerging technologies.

Ideal Candidate

The ideal candidate combines AI/software development expertise with hands‑on manufacturing automation experience. They understand how to build a computer vision model, optimize and deploy it to edge hardware, and integrate the solution with PLCs and production equipment.

Candidates with experience implementing AI‑driven automated inspection systems in automotive, battery, electronics, semiconductor, medical device, or other high‑volume manufacturing environments are especially well suited for this opportunity.

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