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Software Engineering Manager – AI​/ML & Computer Vision

Job in Dearborn, Wayne County, Michigan, 48120, USA
Listing for: TechnoSphere, Inc.
Full Time position
Listed on 2026-07-08
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Project Mgr/ Lead
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Software Engineering Manager – AI/ML & Computer Vision (Manufacturing)

Location:

Dearborn, MI (100% Onsite)

Duration: 12+ months

IMPORTANT NOTE:

This role is 100% onsite in the Dearborn, MI area and may require occasional travel to manufacturing facilities for product development and deployment validation. Candidates must be comfortable working onsite.

We are seeking a Software Engineering Manager to lead a team responsible for developing advanced AI/ML and computer vision solutions within a manufacturing environment.

This role is ideal for a technical leader with experience in software engineering management, artificial intelligence, machine learning, computer vision, and scalable technology solutions.

Key Responsibilities:
  • Lead, mentor, and develop a team of software and data engineers.
  • Own software development lifecycle activities from architecture through deployment.
  • Drive AI/ML and computer vision product development.
  • Support scalable deployment of AI solutions across manufacturing environments.
  • Collaborate with product managers, engineering teams, and business stakeholders.
  • Drive engineering best practices including automated testing, CI/CD, monitoring, and quality standards.
  • Support deployment validation in real-world factory environments.
Required Qualifications:
  • Bachelor’s degree in Computer Science, AI/ML, Engineering, or related technical field.
  • 3+ years of experience directly managing software engineering teams.
  • 5+ years of software engineering experience involving AI/ML, computer vision, or data-driven products.
  • Strong understanding of machine learning lifecycle including data engineering, model training, deployment, and monitoring.
  • Experience leading Agile software development teams.
Preferred Qualifications:
  • Master’s degree in Computer Science, AI/ML, Computer Vision, or related field.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience scaling AI/ML solutions from pilot projects to enterprise deployments.
  • Knowledge of industrial IoT, edge computing, manufacturing systems, or automation technologies.
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