Responsibilities
- Serve as the technical subject-matter expert for computer vision, VLMs, vision agents, edge AI, and IoT.
- Design, train, evaluate, optimize, and productionize computer vision models for detection, classification, segmentation, tracking, OCR, anomaly detection, and activity recognition.
- Develop VLM and multimodal solutions for image and video understanding, visual reasoning, and operational intelligence.
- Build vision agents combining visual intelligence, IoT telemetry, enterprise context, tools, and workflows.
- Create reusable inference services, APIs, SDKs, model pipelines, and reference implementations.
- Deploy and optimize AI workloads across edge GPUs, industrial PCs, smart cameras, and cloud/edge environments.
- Integrate cameras, sensors, and IoT/OT systems using RTSP, ONVIF, MQTT, OPC UA, and related technologies.
- Establish Vision MLOps practices for datasets, evaluation, deployment, monitoring, and model drift.
- Move solutions from proof of concept through pilot, production, and scale across manufacturing, warehouse, quality, EHS, and other domains.
- Evaluate emerging computer vision, VLM, edge AI, vision agent, and physical AI technologies through prototyping and benchmarking.
- Collaborate with domain and enterprise architects and mentor engineering teams on Vision Intelligence implementation.
Requirements
- 10+ years of overall professional experience.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 8–12+ years of AI/software engineering experience, including 5+ years in Computer Vision or Vision AI.
- Strong hands-on experience developing and deploying production-grade computer vision models and real-time video analytics.
- Practical experience with VLMs, multimodal AI, and vision agents.
- Experience with PyTorch, OpenCV, YOLO, ONNX, TensorRT, NVIDIA DeepStream, or equivalent technologies.
- Experience deploying AI on GPU and edge platforms, containers, and Kubernetes/K3s.
- Strong IoT/OT integration experience with cameras, sensors, gateways, and industrial environments.
- Experience with computer vision MLOps, model optimization, evaluation, and production monitoring.
- Demonstrated experience taking Vision AI solutions from prototype through production at multiple sites.
- Manufacturing, warehouse, supply chain, quality, EHS, robotics, or industrial automation experience is highly desirable.
- Exposure to digital twins, sensor fusion, robotics, and physical AI is a plus.
Categories
About PepsiCo
PepsiCo is a playground for curious people. We invite thinkers, doers, and changemakers to champion innovation, take calculated risks, and challenge the status quo. From executives to team members on the front lines, we’re excited about the future. We take chances. Together, we dare to make the world a better place. Our associates are the magic ingredient. Each of them plays an integral role in helping create deep connections between people and our products. Think about your last group celebration: Chances are, one of our iconic brands was by your side. At PepsiCo, you’re invited to be a part of a global team of innovators who make, move, and sell these products—which are enjoyed by more than 1 billion people a day. A career at PepsiCo means working in a culture where everyone’s welcome. Here, you can dare to be yourself. No matter who you are or where you’re from, you can influence the people around you and the world at large. By showing up, you’ll have the opportunity to learn, develop and grow your skills for the future. Our supportive teams can fuel your professional goals to make a global impact on people and the planet. Join us. Dare for Better.