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172 results (3 new)

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Manufacturing Innovation Advanced Technology Engineer

TECKNOMIC LLC

Georgetown, Kentucky • Today

Easy Apply

Full-time

Depends on Experience

Senior Engineering Manager

Kindeva Drug Delivery

Lexington, Kentucky • Today

Full-time

Manager, Reliability Engineering, Automation and Capital Projects

Catalent Pharma Solutionss

Winchester, Kentucky • Today

Full-time

Electrical Project Engineer - Industrial Power Systems

ENTRUST Solutions Group

Remote or Lexington, Kentucky • Today

Full-time

USD 90,000.00 - 100,000.00 per year

Staff Engineering Technology Project Manager - remote must be in the US

Tyco Electronics

Remote or Texas • Today

Full-time

USD 161,200.00 - 185,000.00 per year

Senior Technical Sales Engineer

Innovecture

Remote • 20d ago

Easy Apply

Full-time

Depends on Experience

Lead Ceiling Fan Controls Engineer

Ferguson Enterprises, LLC

Remote or Springfield, Virginia • Today

Full-time

USD 6,733.34 - 12,933.34 per month

Field Service Engineer - Lexington, KY

Becton Dickinson & Company

Lexington, Kentucky • Today

Full-time

Architect ML - AI Researcher

Quantiphi Inc.

Remote • Today

Full-time

Talent Acquisition Technology Architect

Becton Dickinson & Company

Remote or Franklin Lakes, New Jersey • Today

Full-time

USD 154,100.00 - 246,600.00 per year

Lead Talent Acquisition Business Partner (Remote)

Stryker

Remote or Grand Rapids, Michigan • Today

Full-time

USD 77,700.00 - 129,500.00 per year

Dry Etch Process Develop Engineer

Micron Technology, Inc.

Remote or Albany, New York • Today

Full-time

USD 107,000.00 - 182,000.00 per year

Senior Engineer, Process Validation

Danaher Corporation

Remote • Today

Full-time

USD 100,000.00 - 130,000.00 per year

Lead Mechanical/ Product Design Engineer, Special Projects

Eight Sleep

Remote or San Francisco, California • Today

Full-time

USD 140,000.00 - 225,000.00 per year

Sr. Consulting Engineer - Gas Turbine

ENTRUST Solutions Group

Remote • Today

Full-time

USD 120,000.00 - 150,000.00 per year

Principal Engineer - Packaging Equipment

Conagra Brands

Remote or Omaha, Nebraska • Today

Full-time

USD 109,000.00 - 159,000.00 per year

Field Application Engineer, Data Center, HVAC, and Industrial Equipment

Littelfuse, Inc.

Remote or Chicago, Illinois • Today

Full-time

USD 104,400.00 - 161,760.00 per year

Sr Manager, Engineering Finance

Otis Worldwide Corporation

Remote or Connecticut • Today

Full-time

USD 140,000.00 - 160,000.00 per year

Regional Support Engineer - DEWALT - Remote

Stanley Black and Decker

Remote or Illinois • Today

Full-time

USD 62,200.00 - 100,200.00 per year

Applications Engineer, CNC

Phillips Corporation

Remote or Texas • Today

Full-time

USD 90,000.00 - 120,000.00 per year

Field Applications Engineer (TEM)

Thermo Fisher Scientific

Remote or Oregon • Today

Full-time

Field Engineer, DEWALT Anchors & Fasteners - Chicago

Stanley Black and Decker

Remote or Illinois • Today

Full-time

USD 62,200.00 - 100,200.00 per year

AI Strategy Director

Novanta Inc

Remote • Today

Full-time

USD 160,400.00 - 256,600.00 per year

Senior Utilities Reliability Engineer (Remote)

Smithfield Foods, Inc.

Remote or Middlesboro, Kentucky • Today

Full-time

USD 85,000.00 - 120,000.00 per year

Director, Engineering

GXO Logistics

Remote or Georgia • Today

Full-time

Senior Utilities Reliability Engineer (Remote)

Smithfield Foods, Inc.

Remote or Lincoln, Nebraska • Today

Full-time

Science & Technology Buildings - National Market Sector Leader (MSL)

STV Inc.

Remote or New York, New York • Today

Full-time

USD 259,347.58 - 288,163.97 per year

Key Accounts Application Engineer

Ralliant

Remote or Fairport, New York • Today

Full-time

USD 83,400.00 - 155,000.00 per year

Intern - Systems Engineering

Magna

Remote or Southfield, Michigan • Today

Part-time

Preconstruction Engineering Lead

Harris

Remote • Today

Full-time

USD 75,521.24 - 113,281.86 per year

Job Details

Skills

Machine Vision
Edge AI
Computer Vision
Python
C++
PyTorch / TensorFlow
Docker / Kubernetes

Summary

Please Read Before Applying

5+ years in industrial machine vision and edge AI deployment
Proficiency in Python and C++ with ML frameworks (PyTorch, TensorFlow)
Experience integrating vision systems with PLCs and industrial protocols (OPC-UA, MQTT)
Hands-on Docker containerization and Kubernetes orchestration
Onsite in Georgetown, KY; able to travel internationally as needed

About the Role

A leading automotive manufacturer’s Manufacturing Innovation / Advanced Technology group is seeking an Advanced Technology Engineer to develop and deploy production-grade machine learning and computer vision models for industrial inspection across high-volume manufacturing lines. You will accelerate model development with synthetic data, deliver containerized software optimized for edge hardware, and integrate robust AI solutions into manufacturing systems to improve competitiveness.

Responsibilities

Design and implement computer vision models for defect detection, segmentation, and classification
Accelerate training cycles using synthetic data, active learning, and domain randomization
Package models/services with Docker and manage deployments through Kubernetes or equivalent orchestration
Implement version control, rollback, and observability for latency, drift, and false-positive/negative metrics
Optimize inference for edge/embedded hardware (e.g., NVIDIA Jetson, Intel accelerators) for real-time moving-line inspection
Ensure consistent performance under varying lighting, optics, and surface conditions
Integrate vision systems with PLCs, encoders, triggers, and industrial networks using OPC-UA, MQTT, and REST
Align deployments with plant-level connectivity and reliability standards
Lead data collection campaigns, manage annotation workflows, and establish quality gates for validation
Ensure uptime via proactive monitoring, calibration (MSA), drift detection, and root cause analysis
Lead and manage projects from concept to launch (schedules, punch lists, milestones)
Collaborate across manufacturing centers, corporate technical/R&D centers, IT, and automation teams

Required Qualifications

Bachelor’s degree in EE, ME, Computer Science, IT, or a related field
5 years of experience in industrial machine vision and edge AI deployment
Python and C++ with strong knowledge of ML frameworks (PyTorch, TensorFlow)
Containerization (Docker) and orchestration (Kubernetes)
ONNX Runtime, TensorRT, and optimization for embedded hardware
Integrating vision systems with PLCs and industrial protocols (OPC-UA, MQTT)
Full model lifecycle: data collection, labeling, validation, rollout, monitoring, retraining
Object detection, classification, and segmentation (semantic/instance models)
Industrial cameras, lighting, optics, and trigger-based image capture
Balancing inspection accuracy with false positives vs. flow-out risk
Project management (scope, schedules, vendor/contractor management, status updates)
Ability to travel domestically and internationally (Canada, Mexico, Japan) as needed

Technical Skills

Python
C++
PyTorch
TensorFlow
Computer Vision (detection, segmentation, classification)
Edge AI (NVIDIA Jetson, Intel accelerators)
ONNX Runtime
TensorRT
Docker
Kubernetes
OPC-UA
MQTT
REST
PLC integration
Industrial cameras / optics
Synthetic data / domain randomization
MLOps

Preferred Qualifications

Master’s or advanced degree in engineering or a related field
Academic research experience in new technology
Project management involving internal and external parties (6+ months)
Equipment deployment including PFMEA and quality control plans
Deploying automotive production equipment
Robotics — operation, teaching, maintenance, and safety
Synthetic data generation (GANs, VAEs, NeRFs, Blender) and domain randomization
High-speed inline inspection and vision-based process control
IIoT data pipelines and messaging standards
Calibration, measurement system analysis (MSA), and quality-critical inspection

Must-Have Skills

Machine Vision
Edge AI
Computer Vision
Python
C++
PyTorch / TensorFlow
Docker / Kubernetes
PLC Integration
OPC-UA / MQTT
MLOps

Monster Skills List

Machine Vision
Computer Vision
Edge AI
Deep Learning
Machine Learning
Python
C++
PyTorch
TensorFlow
ONNX
TensorRT
Object Detection
Image Segmentation
Classification
Defect Detection
Docker
Kubernetes
NVIDIA Jetson
MLOps
Model Deployment
OPC-UA
MQTT
REST API
PLC
Industrial Automation
Industrial Cameras
Synthetic Data
Domain Randomization
GANs
MSA
IIoT

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10319786
Position Id: 9048143
Posted 5 hours ago

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Contact the job poster

Laurie Spencer

Recruiter @ TECKNOMIC LLC

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Machine Learning Engineer - Inference Maintainer & Developer Experience

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Full-time

USD 155,000.00 - 180,000.00 per year

Job Details

Skills

Machine Vision
Edge AI
Computer Vision
Python
C++
PyTorch / TensorFlow
Docker / Kubernetes

Summary

Please Read Before Applying

5+ years in industrial machine vision and edge AI deployment
Proficiency in Python and C++ with ML frameworks (PyTorch, TensorFlow)
Experience integrating vision systems with PLCs and industrial protocols (OPC-UA, MQTT)
Hands-on Docker containerization and Kubernetes orchestration
Onsite in Georgetown, KY; able to travel internationally as needed

About the Role

Responsibilities

Design and implement computer vision models for defect detection, segmentation, and classification
Accelerate training cycles using synthetic data, active learning, and domain randomization
Package models/services with Docker and manage deployments through Kubernetes or equivalent orchestration
Implement version control, rollback, and observability for latency, drift, and false-positive/negative metrics
Optimize inference for edge/embedded hardware (e.g., NVIDIA Jetson, Intel accelerators) for real-time moving-line inspection
Ensure consistent performance under varying lighting, optics, and surface conditions
Integrate vision systems with PLCs, encoders, triggers, and industrial networks using OPC-UA, MQTT, and REST
Align deployments with plant-level connectivity and reliability standards
Lead data collection campaigns, manage annotation workflows, and establish quality gates for validation
Ensure uptime via proactive monitoring, calibration (MSA), drift detection, and root cause analysis
Lead and manage projects from concept to launch (schedules, punch lists, milestones)
Collaborate across manufacturing centers, corporate technical/R&D centers, IT, and automation teams

Required Qualifications

Bachelor’s degree in EE, ME, Computer Science, IT, or a related field
5 years of experience in industrial machine vision and edge AI deployment
Python and C++ with strong knowledge of ML frameworks (PyTorch, TensorFlow)
Containerization (Docker) and orchestration (Kubernetes)
ONNX Runtime, TensorRT, and optimization for embedded hardware
Integrating vision systems with PLCs and industrial protocols (OPC-UA, MQTT)
Full model lifecycle: data collection, labeling, validation, rollout, monitoring, retraining
Object detection, classification, and segmentation (semantic/instance models)
Industrial cameras, lighting, optics, and trigger-based image capture
Balancing inspection accuracy with false positives vs. flow-out risk
Project management (scope, schedules, vendor/contractor management, status updates)
Ability to travel domestically and internationally (Canada, Mexico, Japan) as needed

Technical Skills

Python
C++
PyTorch
TensorFlow
Computer Vision (detection, segmentation, classification)
Edge AI (NVIDIA Jetson, Intel accelerators)
ONNX Runtime
TensorRT
Docker
Kubernetes
OPC-UA
MQTT
REST
PLC integration
Industrial cameras / optics
Synthetic data / domain randomization
MLOps

Preferred Qualifications

Master’s or advanced degree in engineering or a related field
Academic research experience in new technology
Project management involving internal and external parties (6+ months)
Equipment deployment including PFMEA and quality control plans
Deploying automotive production equipment
Robotics — operation, teaching, maintenance, and safety
Synthetic data generation (GANs, VAEs, NeRFs, Blender) and domain randomization
High-speed inline inspection and vision-based process control
IIoT data pipelines and messaging standards
Calibration, measurement system analysis (MSA), and quality-critical inspection

Must-Have Skills

Machine Vision
Edge AI
Computer Vision
Python
C++
PyTorch / TensorFlow
Docker / Kubernetes
PLC Integration
OPC-UA / MQTT
MLOps

Monster Skills List

Machine Vision
Computer Vision
Edge AI
Deep Learning
Machine Learning
Python
C++
PyTorch
TensorFlow
ONNX
TensorRT
Object Detection
Image Segmentation
Classification
Defect Detection
Docker
Kubernetes
NVIDIA Jetson
MLOps
Model Deployment
OPC-UA
MQTT
REST API
PLC
Industrial Automation
Industrial Cameras
Synthetic Data
Domain Randomization
GANs
MSA
IIoT

Dice Id: 10319786
Position Id: 9048143
Posted 5 hours ago

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Contact the job poster

Laurie Spencer

Recruiter @ TECKNOMIC LLC

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Machine Vision & Edge AI Engineer

Georgetown, Kentucky

•

Today

Easy Apply

Contract

Depends on Experience

Systems Architect - Edge AI/ML

Wisconsin

•

Today

Full-time

Computer Vision/Deep Learning Scientist

Remote

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7d ago

Easy Apply

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$70 - $80

Machine Learning Engineer - Inference Maintainer & Developer Experience

Remote or New York

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Full-time

USD 155,000.00 - 180,000.00 per year