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Manufacturing Intelligence Software Jobs in Michigan

... software/system development life cycle (SDLC), QMS, and GxP compliance. - Proven ability to lead ... Familiarity with manufacturing intelligence and business reporting. ITIL or equivalent service ...

We are looking for a highly motivated, intellectually curious, and passionate Manufacturing/Quality ... Statistical software * Ability to get along with diverse personalities while remaining tactful ...

Manufacturing Quality Engineer

Holland, MI · On-site

$69K - $89K/yr

We are looking for a highly motivated, intellectually curious, and passionate Manufacturing/Quality ... Statistical software * Ability to get along with diverse personalities while remaining tactful ...

... to EOL software (SW) and hardware (HW) using data from the EOL Dashboard Reporting Systems. • ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

... Intelligence & Expert Systems, Google Cloud Platform, Web Applications, Supply Chain Knowledge ... manufacturing, telecommunications, chemical services, technology, public sector, and utilities.

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits ... The ideal candidate will combine strong technical skills with business intelligence to translate ...

New

Sr. Software Engineer - AI/ML

Ann Arbor, MI · Hybrid

$119K - $158K/yr

KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits ... The ideal candidate will combine strong technical skills with business intelligence to translate ...

New

Bachelor's degree in Supply Chain Management, Manufacturing/IndustrialEngineering, Business ... Proficiencyin MS Office Suite and Business Intelligence software (e.g., Power BI). * Strong ...

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Manufacturing Intelligence Software information

What is Manufacturing Intelligence Software?

Manufacturing Intelligence Software refers to digital tools and platforms that collect, analyze, and visualize data from manufacturing operations to help businesses optimize production, quality, and efficiency. These systems integrate data from machines, sensors, and enterprise software to deliver real-time insights, enabling companies to make informed decisions and quickly respond to issues. By using Manufacturing Intelligence Software, manufacturers can reduce downtime, improve product quality, and enhance overall productivity.

Is AI taking over manufacturing jobs?

Manufacturing intelligence software professionals work with AI and automation tools that can enhance productivity and reduce manual tasks. While AI automates certain repetitive processes, it often creates new roles focused on managing, developing, and maintaining these systems, making the workforce more skilled rather than replacing jobs entirely.

What are the key skills and qualifications needed to thrive in Manufacturing Intelligence Software roles, and why are they important?

To thrive in Manufacturing Intelligence Software roles, you need a solid background in data analysis, process engineering, and manufacturing operations, often supported by a degree in engineering, computer science, or a related field. Familiarity with MES (Manufacturing Execution Systems), SCADA, data visualization tools, and experience with programming languages such as SQL or Python are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals interpret data insights and collaborate with cross-functional teams. These skills are crucial for optimizing manufacturing processes, driving operational efficiency, and enabling data-driven decision-making in an industrial environment.

What is the highest paying job in manufacturing?

In manufacturing, senior engineering roles such as Manufacturing Engineering Manager or Director often have the highest salaries, especially for those with extensive experience and advanced certifications. These positions typically oversee production processes, implement manufacturing intelligence software, and require strong leadership and technical skills, commanding six-figure salaries in many regions.

What does an intelligent manufacturing engineer do?

An intelligent manufacturing engineer designs and implements advanced manufacturing systems that utilize data analytics, automation, and artificial intelligence to optimize production processes. They analyze manufacturing data, develop solutions to improve efficiency, and often work with software tools like manufacturing execution systems (MES) and industrial IoT platforms. Strong problem-solving skills and knowledge of manufacturing operations are essential for this role.

Which software jobs will be replaced by AI?

In manufacturing intelligence software, roles involving routine data analysis, report generation, and basic troubleshooting are increasingly automated by AI tools. Jobs that rely heavily on repetitive tasks or predefined algorithms are most susceptible to automation, while roles requiring complex problem-solving and domain expertise remain less affected.

What is the difference between Manufacturing Intelligence Software vs Manufacturing Data Analyst?

FeatureManufacturing Intelligence SoftwareManufacturing Data Analyst
CredentialsTypically requires technical skills, data analysis, and industry knowledgeRequires analytical skills, often with degrees in data science, statistics, or engineering
Work EnvironmentSoftware development, data integration, and factory floor supportData analysis, reporting, and process improvement in manufacturing settings
UsageUsed to monitor, analyze, and optimize manufacturing processes through software toolsInterprets data outputs from manufacturing systems to inform decision-making

Manufacturing Intelligence Software focuses on developing and implementing tools to analyze manufacturing data, while Manufacturing Data Analysts interpret this data to improve processes. Both roles are essential in modern manufacturing but serve different functions within the industry.

How does a professional in Manufacturing Intelligence Software typically collaborate with production and engineering teams?

Professionals working in Manufacturing Intelligence Software often play a key role in bridging the gap between IT systems and production or engineering teams. They gather requirements from manufacturing stakeholders, translate them into software solutions, and ensure that data flows seamlessly between different shop floor systems. Regular collaboration involves troubleshooting data issues, optimizing system performance, and training team members on new software tools. Strong communication skills are essential, as these professionals must explain technical concepts to non-technical staff and incorporate feedback to improve system usability.
What cities in Michigan are hiring for Manufacturing Intelligence Software jobs? Cities in Michigan with the most Manufacturing Intelligence Software job openings:
Infographic showing various Manufacturing Intelligence Software job openings in Michigan as of June 2026, with employment types broken down into 11% Internship, 67% Full Time, and 22% Contract. Highlights an 100% In-person job distribution.

Software Engineering Manager - Sight & Sense (AI/ML)

Infosat IT Services LLC

Detroit, MI • On-site

Other

Posted yesterday


Job description

Software Engineering Manager – Sight & Sense (AI/ML)

Location: Redford, MI (100% Onsite)
Interview Process: Video Interview followed by an In-Person Team Interview. Candidates must be willing to meet the team onsite in Redford, MI prior to receiving an offer.
Duration: 6+ Months Contract (Likely Extension)
Priority: Very High
Experience: 8+ Years Overall | 3+ Years Managing Engineering Teams
Industry: Automotive Manufacturing | AI/ML | Computer Vision

Position Overview

The Advanced Industrial Technology organization is undertaking a strategic initiative to build a scalable, enterprise-grade AI/ML ecosystem using Sight & Sense AI to transform raw factory data into actionable manufacturing intelligence. This platform leverages computer vision, anomaly detection, and parametric data analysis to improve quality and operational efficiency across global manufacturing operations.

We are seeking a Software Engineering Manager to lead multidisciplinary engineering teams responsible for developing, deploying, and scaling AI-powered manufacturing solutions.

Key Responsibilities
  • Lead, mentor, and grow software engineering teams developing AI/ML products.
  • Own the software development lifecycle for Sight & Sense AI solutions.
  • Define architecture strategy across:
    • Computer Vision
    • Machine Learning
    • MLOps
    • Edge Computing
    • Cloud Platforms
  • Drive engineering best practices, CI/CD, testing automation, and operational excellence.
  • Collaborate with Product Managers, Data Scientists, Architects, and Manufacturing stakeholders.
  • Champion Agentic AI and AI-assisted engineering workflows.
  • Support deployment and validation activities at manufacturing facilities.
  • Establish scalable platform strategies that enable "build once, deploy everywhere."
  • Drive technical roadmaps and long-term platform strategy.
  • Ensure delivery of reliable, secure, and maintainable software solutions.
Required Qualifications
  • Bachelor''s Degree in Computer Science, AI/ML, Software Engineering, or related discipline.
  • 5+ years of software engineering experience.
  • 3+ years of experience managing software engineering teams.
  • Experience leading AI/ML, Computer Vision, or Data Engineering initiatives.
  • Deep understanding of the ML lifecycle including:
    • Data Engineering
    • Model Training
    • Model Deployment
    • Monitoring
    • MLOps
  • Experience leading Agile software development teams.
  • Strong communication and stakeholder management skills.
Preferred Qualifications
  • Master''s Degree in Computer Vision, AI, Machine Learning, Data Science, or related field.
  • Experience with AWS, Azure, or Google Cloud Platform.
  • Experience scaling AI/ML products from pilot programs to enterprise-wide deployments.
  • Experience with Industrial IoT, Manufacturing Systems, or Edge Computing.
  • Automotive or Manufacturing industry experience.
Success Metrics
  • Increased engineering team engagement and productivity.
  • Reduced time from model development to production deployment.
  • Reliable and scalable AI solutions deployed across manufacturing plants.
  • Improved defect detection and manufacturing quality outcomes.
  • Successful global adoption of Sight & Sense AI solutions.