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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineering Manager - Sight & Sense (AI/ML) - **Company:** Akaasa Technologies - **Location:** Redford Township, MI, United States - **Experience:** Experienced - **Contract:** Temporary to permanent - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Big Data, Communications Protocols, Information Engineering, Machine Learning, Scrum Methodology, Azure Machine Learning, Software Engineering, Technical Data Management Systems, Web Platforms, Information Technology, Data Management, Machine Learning Operations, Multiaccess Edge Computing, Virtual Agents - **Published:** July 3, 2026 - **Apply:** https://www.careerjet.com/jobad/us6ed019217b17dd76dccb31f8242be51c ## About the Role * 3+ years of Software Engineering Management experience * Experience hiring, mentoring, coaching, and leading engineering teams * 5+ years of Software Engineering experience * AI/ML application development experience * Computer Vision experience * Data Engineering and Analytics Platform experience * Strong understanding of the Machine Learning Lifecycle * Model Training, Inference, Monitoring, and Deployment experience * Agile and Scrum leadership experience * Technical Architecture and Solution Design expertise * Cross-functional stakeholder management skills * Strong communication and leadership abilities Skills: * MLOps platform experience * AWS, Azure, or GCP cloud experience * Manufacturing Technology experience * Industrial IoT (IIoT) experience * Edge Computing experience * Industrial Communication Protocols knowledge * AI/ML product scaling experience from pilot to enterprise deployment * Agentic AI and AI-assisted development experience * Master's Degree in Computer Science, AI/ML, Data Science, or related field Success Metrics: * High-performing and engaged engineering team * Faster deployment of AI/ML models into production environments * Highly reliable and scalable vision-based solutions * Reduced manufacturing defects and improved quality metrics * Enterprise-wide adoption of Sight and Sense anomaly detection platforms, Job Category: PD Operations and Quality Degree Level: Bachelor's Degree or equivalent Job Description: About the Organization We are undergoing a historic industrial shift-… + 2 months ago ## Description Client Note: * Local Michigan candidates only with DL copy * LinkedIn with proper location * Manufacturing facility visits may be required * Strong Engineering Leadership experience required * AI/ML and Computer Vision experience highly preferred * Looking for a technical leader who can drive execution, mentoring, and engineering excellence, Organization is driving a major transformation focused on building scalable digital platforms that power modern manufacturing operations. Within this organization, the Sight Vertical is responsible for delivering AI/ML-powered anomaly detection solutions using computer vision and manufacturing data analytics. The Software Engineering Manager will lead a multidisciplinary team of software engineers and data engineers responsible for the Sight and Sense product lines. This role combines engineering leadership, software delivery oversight, AI/ML platform strategy, MLOps, and manufacturing technology innovation. The ideal candidate will have a strong software engineering background with experience leading teams building AI/ML, computer vision, or large-scale data-driven products. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Project Fugu: Extending the web](https://www.wearedevelopers.com/videos/832-project-fugu-extending-the-web) - [Guiding Agentic AI with Vue](https://www.wearedevelopers.com/videos/2033-guiding-agentic-ai-with-vue) - [The New Org Chart: When AI Joins the Workforce](https://www.wearedevelopers.com/videos/100036-the-new-org-chart-when-ai-joins-the-workforce) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [The AI-Ready Stack: Rethinking the Engineering Org of the Future](https://www.wearedevelopers.com/videos/1706-the-ai-ready-stack-rethinking-the-engineering-org-of-the-future) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)