What are the responsibilities and job description for the Software Engineering Manager – AI/ML & Computer Vision (Manufacturing) position at TechnoSphere, Inc.?
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.
If you have qualified candidates, please send resumes to:
Anil.Reddy@Technosphere.com