Education: - Bachelor’s degree in Computer Science, AI/ML, or a related technical field. Leadership Experience: - 3+ years of experience directly managing software engineering teams, with a proven track record of hiring, mentoring, and retaining talent. Technical Background: - 5+ years of experience in software engineering, specifically involving AI/ML, Computer Vision, or complex data-driven products. Systems Knowledge: - Deep understanding of the machine learning lifecycle (data engineering, model training, inference, and monitoring). Agile Proficiency: - Extensive experience leading teams in Agile environments, managing sprints, and optimizing delivery velocity. What You’ll Be Able to Do: Engineering Leadership & Mentorship: - Lead, coach, and grow a multi-disciplinary team of software and data engineers. - Foster a collaborative environment focused on continuous improvement and professional development. Technical Delivery: - Own the software development lifecycle for Sight and Sense products. - Ensure the team delivers high-quality, maintainable code that meets project milestones and performance benchmarks and results in a reliable and highly scalable product. Architecture & Strategy: - Provide technical oversight for software and hardware architecture, MLOps pipelines, technology stack selection, and controls integration. - Balance the need for rapid innovation with the stability required for 24/7 manufacturing environments. Cross-Functional Collaboration: - Partner closely with Product Managers and stakeholders to translate manufacturing challenges into technical roadmaps and executable engineering backlogs. Platform Integration: - Ensure all vision products are built for seamless integration with centralized data and operating platforms, adhering to a "build once, scale everywhere" philosophy. Operational Excellence: - Drive engineering best practices, including automated testing, CI/CD, and robust monitoring for models deployed at the "edge" (on-site factory hardware). Innovation: - Drive innovation by integrating Agentic workflows and AI-assisted engineering tools to maximize team productivity and software quality. Deployment Oversight: - Work with site-level stakeholders to ensure technical solutions account for real-world variables such as factory lighting, line speeds, and network constraints.

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

Emma

Requirements and responsibilities

Skills wanted:

Language(s) required:

Muskan

Anil

Vishal

Admin access needed