What is the salary for a Manufacturing AI Engineer?

The salary range for a Manufacturing AI Engineer is $110K to $190K per year, with a median salary of $150K.

What skills are required for a Manufacturing AI Engineer?

Key skills for a Manufacturing AI Engineer include: Python, Manufacturing Domain, Computer Vision, SQL, IoT Integration, Predictive Maintenance.

What is the job outlook for Manufacturing AI Engineer?

The Manufacturing AI Engineer role has a growth rate of +35%. Growing as Industry 4.0 advances. Manufacturers seek AI experts to modernize operations.

How do I become a Manufacturing AI Engineer?

To become a Manufacturing AI Engineer: 1) Learn foundational skills like Python, Manufacturing Domain, Computer Vision. 2) Build 2-3 portfolio projects. 3) Get relevant certifications such as Industry 4.0 Certification. 4) Create an ATS-optimized resume. 5) Practice for interviews and apply strategically.

What keywords should I include in my Manufacturing AI Engineer resume?

Essential ATS keywords for a Manufacturing AI Engineer resume include: Python, Manufacturing Domain, Computer Vision, SQL, IoT Integration. Also include specific technical terms, quantified achievements, and industry-standard tools.

What education is required for Manufacturing AI Engineer?

Manufacturing AI Engineer typically requires Bachelor's or Master's in Engineering, Computer Science, or related field. Valuable certifications include: Industry 4.0 Certification, ML for Manufacturing.

Manufacturing AI Engineer

Manufacturing AI Engineers develop AI solutions for factories including predictive maintenance, quality inspection, process optimization, and supply chain management. They help manufacturers improve efficiency and reduce costs.

Average Salary

$150K/year

$110K - $190K

Growth Rate

+35%

Next 10 years

Work Environment

Factory, Office

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What is a Manufacturing AI Engineer?

Education Required

Bachelor's or Master's in Engineering, Computer Science, or related field

Certifications

• Industry 4.0 Certification
• ML for Manufacturing

Job Outlook

Growing as Industry 4.0 advances. Manufacturers seek AI experts to modernize operations.

Key Responsibilities

Build predictive maintenance systems, develop quality inspection AI, optimize manufacturing processes, implement AI-powered supply chain, analyze production data, and ensure system reliability.

A Day in the Life

Predictive modeling

Image inspection

Process optimization

Sensor integration

Performance monitoring

Factory collaboration

Required Skills

Here are the key skills you'll need to succeed as a Manufacturing AI Engineer.

Python

technical

Programming in Python for AI/ML development, data analysis, and automation

Manufacturing Domain

analytical

Manufacturing industry knowledge

Computer Vision

technical

Image and video analysis with ML

SQL

technical

Database querying and data manipulation

IoT Integration

technical

Integrating with IoT devices

Predictive Maintenance

technical

Predictive maintenance systems

Salary Range

Average Annual Salary

$150K

Range: $110K - $190K

Salary by Experience Level

Entry Level (0-2 years)$110K - $132K

Mid Level (3-5 years)$132K - $165K

Senior Level (5-10 years)$165K - $190K

Projected Growth

+35% over the next 10 years

ATS Resume Keywords

Optimize your resume for Applicant Tracking Systems (ATS) with these Manufacturing AI Engineer-specific keywords.

Must-Have Keywords

Essential

Include these keywords in your resume - they are expected for Manufacturing AI Engineer roles.

✓ Manufacturing AI✓ Predictive Maintenance✓ Computer Vision✓ IoT✓ Python✓ Quality Control

Strong Keywords

Bonus Points

These keywords will strengthen your application and help you stand out.

★ Digital Twin★ Defect Detection★ Process Optimization★ PLC★ Edge AI★ Six Sigma

Keywords to Avoid

Overused

These are overused or vague terms. Replace them with specific achievements and metrics.

⚠ Industry 4.0 expert⚠ Manufacturing guru⚠ Factory wizard⚠ Production master

💡 Pro Tips for ATS Optimization

• Use exact keyword matches from job descriptions
• Include keywords in context, not just lists
• Quantify achievements (e.g., "Improved X by 30%")
• Use both acronyms and full terms (e.g., "ML" and "Machine Learning")

How to Become a Manufacturing AI Engineer

Follow this step-by-step roadmap to launch your career as a Manufacturing AI Engineer.

Learn Manufacturing Domain

Understand manufacturing processes, quality control, and industrial systems.

Master Industrial AI

Study predictive maintenance, defect detection, and process optimization.

Build IoT Skills

Learn sensor data, edge computing, and industrial IoT platforms.

Develop CV Skills

Master computer vision for visual inspection and quality control.

Understand Edge Deployment

Learn to deploy AI on factory floor with real-time constraints.

Get Industry Experience

Work in manufacturing, industrial automation, or Industry 4.0 companies.

🎉 You're Ready!

With dedication and consistent effort, you'll be prepared to land your first Manufacturing AI Engineer role.

Not sure if Manufacturing AI Engineer is right for you?

Take our free career assessment to find your ideal AI role.

Portfolio Project Ideas

Build these projects to demonstrate your Manufacturing AI Engineer skills and stand out to employers.