Computer Vision Engineer

Key Responsibilities

• Lead and manage end-to-end life cycles of complex cross-functional projects spanning organizations and geographies, ensuring delivery of impactful business outcomes.
• Engineering Solutions: Design and develop engineering solutions for material handling challenges, considering human–equipment interactions and operational excellence.
• IIoT Development: Develop, configure, and implement IIoT hardware to enhance equipment, processes, and operator workflows.
• Simulation & Modeling: Collaborate with Scientists to create advanced simulation models and perform “what-if” scenario testing to drive optimal hardware and process solutions.
• Concept & Design Leadership: Lead concept efforts for optimal solutions including equipment specifications, material flow, ergonomics, associate experience, operational considerations, and site layout.
• Vendor & Stakeholder Collaboration: Partner with suppliers, vendors, and internal teams to deliver innovative solutions with scalability and efficiency.
• Documentation & Standards: Ensure all solutions are documented with SOPs and/or structured change control, setting standards for engineering excellence.
• Multi-Project Management: Manage multiple initiatives simultaneously while influencing, negotiating, and communicating effectively with internal and external stakeholders.
• Thought Leadership: Deliver artifacts (research, schematics, prototypes, 3D models, analysis, test plans, narratives) that set benchmarks for organizational engineering standards.
• Consensus Building: Communicate complex ideas clearly, harmonize diverse perspectives, and build consensus to resolve contentious issues.

Must-Have Qualifications

• Proven experience in computer vision (CV) and machine learning (ML) integration for real-time solutions.
• Strong coding skills (Python, C++, or similar) with the ability to prototype, test, and deploy ML/CV models in production environments.
• Demonstrated ability to lead large-scale engineering projects or device development from concept through implementation.
• Hands-on experience with IIoT hardware design, configuration, and integration for operational improvements.
• Strong knowledge of system design, material handling, and human–machine interaction principles.
• Exceptional program management, communication, and stakeholder management skills.

Nice-to-Have Qualifications

• Advanced Python programming skills for data modelling, simulation, and rapid prototyping.
• Experience with system emulation and testing environments.
• Strong background in cross-functional collaboration within large, fast-paced, and dynamic operational environments.
• Familiarity with 3D modelling, CAD tools, or hardware prototyping.