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Industrial Project Innovation Jobs in Kentucky (NOW HIRING)

Mesabi Metallics

Project Strategy Associate

Paducah, KY · On-site

$90K - $100K/yr

... innovation in sustainable Integrated steel manufacturing. Our commitment extends to providing a ... You will be joining us at a pivotal stage of one of North America's most significant industrial ...

Mesabi Metallics

Project Strategy Associate

Paducah, KY · On-site

$90K - $100K/yr

... driving innovation in the iron ore industry. Our commitment extends to providing a safe work ... Support strategic planning and evaluation of large-scale industrial projects across steel and power ...

Kiewit Corporation

Project Engineer

Louisville, KY · Hybrid

Kiewit Industrial District Department: Project Engineering Market: Industrial Employment Type ... We cultivate a culture of excellence, innovation and teamwork, making it the most rewarding place ...

Mesabi Metallics

Civil Engineer II

Paducah, KY · On-site

$85K - $100K/yr

... driving innovation in the iron ore industry. Our commitment extends to providing a safe work ... Ability to work in complex, cross-functional industrial project environments. * Excellent ...

PM2 Strategies

$110 - $140/hr

The results of the assessments are used to generate industrial-innovation-base inputs to technology ... Monitor major project technical tasks using formal quality control methods. Support assessment ...

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T Baker Smith, LLC.

$90 - $120/hr

A career at TBS is a journey of empowerment, where innovation drives growth and a commitment to ... Industrial Measurement Survey Project Manager - (525.8) Share this job as a link in your status ...

Michelin

Senior Industrial Engineer

Louisville, KY · On-site

$41 - $56.25/hr

Senior Industrial Engineer Build a Career That Matters with One of the World's Most Respected ... Innovation-Driven : Work on projects that matter-from sustainable materials to digital ...

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Industrial Project Innovation information

See Kentucky salary details

$39.5K

$93.7K

$130.7K

How much do industrial project innovation jobs pay per year?

As of Aug 26, 2026, the average yearly pay for industrial project innovation in Kentucky is $93,742.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,300.00 and $106,800.00 per year, depending on experience, location, and employer.

What is industrial project innovation?

Industrial Project Innovation refers to the implementation of new ideas, processes, or technologies in large-scale industrial projects to improve efficiency, productivity, and competitiveness. Professionals in this field manage the development and integration of innovative solutions throughout the project lifecycle, from concept through execution. Their role often involves collaborating across engineering, construction, and business teams to ensure that innovations meet safety, budget, and quality standards. The goal is to drive continuous improvement and add value to industrial operations.

What are the key skills and qualifications needed to thrive in industrial project innovation, and why are they important?

To thrive in Industrial Project Innovation, you need strong project management, engineering, and process improvement skills, often supported by a relevant engineering degree or PMP certification. Familiarity with tools such as Lean Six Sigma, CAD software, and industrial automation systems is commonly required. Creativity, problem-solving, and effective communication are vital soft skills for driving innovation and collaborating across teams. These skills ensure the successful development and implementation of new industrial solutions that enhance productivity and competitiveness.

What are some common challenges faced by professionals in industrial project innovation roles, and how can they be addressed?

Professionals in Industrial Project Innovation often encounter challenges such as managing cross-functional teams, aligning diverse stakeholder interests, and navigating rapidly changing technologies. To address these challenges, it's important to foster clear communication, establish well-defined project goals, and remain adaptable to new tools and methodologies. Building strong relationships with both technical and non-technical team members can also help ensure that innovative ideas are effectively implemented and drive organizational value.

What is the difference between Industrial Project Innovation vs Industrial Engineer?

AspectIndustrial Project InnovationIndustrial Engineer
Required CredentialsBachelor's in Engineering, Project Management certificationsBachelor's in Industrial Engineering, sometimes PMP or Six Sigma
Work EnvironmentProject-based settings, cross-functional teamsManufacturing plants, process optimization environments
Employer & Industry UsageManufacturing, construction, consulting firmsFactories, logistics, supply chain companies

Industrial Project Innovation focuses on developing and managing innovative projects within industrial settings, emphasizing new processes and solutions. Industrial Engineers optimize existing systems for efficiency. While both roles require engineering credentials and often overlap in industry settings, Project Innovation is more project-centric, whereas Industrial Engineering centers on process improvement and system optimization.

What are popular job titles related to Industrial Project Innovation jobs in Kentucky?

For Industrial Project Innovation jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Industrial Project Innovation jobs in Kentucky look for?

The top searched job categories for Industrial Project Innovation jobs in Kentucky are:

What cities in Kentucky are hiring for Industrial Project Innovation jobs?

Cities in Kentucky with the most Industrial Project Innovation job openings:

Industrial Project Innovation jobs near you

Manufacturing Innovation Advanced Technology Engineer

CTC USA, LLC

Georgetown, KY • On-site

Other

Posted 18 days ago

Job description

Job Title: Manufacturing Innovation Advanced Technology Engineer-1507474 
Location: Georgetown, KY
Job Type: Contract
Position Summary:
 
Who we’re looking for 
Toyota’s Manufacturing Project Innovation Center (Manufacturing Innovation) – Advanced Technology Department is looking for a passionate and highly motivated Advanced Technology Engineer 
 
The primary responsibility of this role is: 
  • Model Development & Training Speed 
  • Design and implement computer vision models for defect detection, segmentation, and classification. 
  • Accelerate training cycles using synthetic data, active learning, and domain randomization to cover rare defects and specification variance. 
  • Production Deployment 
  • Package models and services using Docker and manage deployments through Kubernetes or equivalent orchestration tools. 
  • Implement version control, rollback strategies, and observability for latency, drift, and false-positive/false-negative metrics. 
  • Edge Optimization 
  • Optimize inference for edge and embedded hardware (e.g., NVIDIA Jetson, Intel accelerators) to meet strict real-time latency requirements for moving-line inspection. 
  • Ensure consistent performance under varying lighting, optics, and surface conditions. 
  • Integration with Manufacturing Systems 
  • Integrate vision systems with PLCs, encoders, triggers, and industrial networks using OPC-UA, MQTT, and REST protocols. 
  • Align deployments with Toyota’s ICS+, GALC, and TVIP architecture standards for plant-level connectivity and reliability. 
  • Data Strategy & Quality Control 
  • Lead data collection campaigns, manage annotation workflows, and establish quality gates for model validation. 
  • Utilize synthetic data pipelines and augmentation techniques to improve model robustness and reduce training time. 
  • Reliability & Sustainment 
  • Ensure uptime and availability targets are met through proactive monitoring, calibration (MSA), and backup/restore processes. 
  • Implement drift detection, audit false-out risks, and perform root cause analysis for inspection failures. 
Reporting to the Manufacturing Innovation Manager, the person in this role will support the Production Engineering Division and SOAR Group’s objective to improve manufacturing competitiveness. 
 
What you’ll be doing  
  • Develop and deploy production-grade machine learning models for industrial vision inspection systems across Toyota manufacturing lines. 
  • Accelerating model development and training using advanced techniques such as synthetic data generation, ensuring high accuracy and generalization, and delivering containerized software optimized for edge hardware 
  • Development of new technologies for PE and Manufacturing competitiveness improvement 
  • Lead and manage projects from concept to launch for new technology first introduction to manufacturing including creating schedules, establishing punch lists, and meeting established due dates and milestones. 
  • Search for innovative solutions, test them in a manufacturing setting, and develop business case justification to gain approval to purchase if trials prove successful. 
  • Close collaboration between both internal and external groups across Toyota including North American Manufacturing Centers ( NAMCs), Toyota Motor Corp (TMC), Toyota Technical Center (TTC) , PE support shops, IT ( One Tech) teams, automation teams & Plano divisions, to ensure quality and to integrate robust AI solutions into high-volume manufacturing environments. 
 
What you bring  
  • Ability to travel to all North American Manufacturing Centers (NAMC’s)-- including Canada and Mexico;  and to Toyota Motor Corp (TMC)-- Japan 
  • Experience with project management including writing detailed scope of work, creating schedules, managing vendors/contractors, and providing regular status updates (Y/N – text follow up) 
  • Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Information Technology or related field. 
  • 5 years of experience in industrial machine vision and edge AI deployment. 
  • Proficiency in Python and C++ with strong knowledge of ML frameworks (PyTorch, TensorFlow). 
  • Hands-on experience with containerization (Docker) and orchestration (Kubernetes). 
  • Familiarity with ONNX Runtime, TensorRT, and optimization for embedded hardware. 
  • Experience integrating vision systems with PLCs and industrial protocols (OPC-UA, MQTT). 
  • Experience managing the full model lifecycle: data collection, labeling, validation, rollout, monitoring, and retraining 
  • Experience in areas such as object detection, classification, segmentation and familiarity with mainstream object detection and semantic/instance segmentation models.
  • Familiarity with industrial cameras, lighting, and optics, including trigger-based image capture 
Experience balancing inspection accuracy with false positives vs flow-out risk in quality
Desired / Preferred  
  • Master’s Degree in Engineering or Advanced Degree in related fields 
  • Academic research experience in new technology  
  • Project management work involving internal and external parties – 6 months or greater 
  • Experience deploying equipment including establishing RJ, PFMEA, and quality control plan 
  • Experience deploying automotive production equipment  
  • Experience in Robotics to include operation, teaching, maintenance, and safety 
  • Expertise in synthetic data generation techniques (GANs, VAEs, NeRFs, Blender) and domain randomization for model generalization. 
  • Experience with high-speed inline inspection systems and vision-based process control. 
  • Knowledge of IIoT data pipelines and messaging standards. 
  • Strong understanding of calibration, measurement system analysis (MSA), and quality-critical inspection requirements. 
 Must Have:
  • Vision & Technology project.
  • An ideal candidate should be experienced with machine learning and vision systems using PLC.
  • 5 years of experience in Machine Vision & Edge AI development.
  • Proficiency in Python and C++

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