Deputy Director - AI Solution and Platforms Observability

PepsiCo Deutschland GmbH; Hyderabad; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

PepsiCo Deutschland GmbH in Hyderabad, India seeks a senior hands-on contributor to enable enterprise Vision Intelligence across CV, VLMs, Vision Agents, Edge AI and IoT. You will partner with Domain and Enterprise Architecture to translate needs into scalable, production-ready capabilities.

As technical SME, you will design, train and productionize CV models, develop multimodal solutions, build Vision Agents, and establish Vision MLOps practices across multiple sites.

Qualifications

• 10+ years of overall experience in AI/software engineering.
• 8–12+ years in AI/Software Engineering with 5+ years in CV/Vision AI.
• Hands-on experience deploying production-grade CV models and real-time video analytics.
• Experience with PyTorch, OpenCV, YOLO, ONNX, TensorRT, NVIDIA DeepStream or equivalent.
• Experience deploying AI on GPU/edge platforms, containers and Kubernetes/K3s.
• Strong IoT/OT integration with cameras, sensors and industrial environments.

Responsibilities

• Serve as the technical SME for Vision Intelligence across CV, VLMs, Vision Agents, Edge AI and IoT.
• Design, train, evaluate and productionize CV models for detection, classification, segmentation, tracking, OCR and anomaly detection.
• Develop VLM and multimodal solutions for image/video understanding and operational intelligence.
• Build Vision Agents combining visual intelligence, IoT telemetry, enterprise context, tools and workflows.
• Enable reusable platform capabilities including 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, CI/CD, deployment, monitoring and model drift.
• Collaborate with Manufacturing, Warehouse, Quality, EHS and other domains to scale solutions.

Skills

Vision Intelligence

CV/Computer Vision

VLMs

Edge AI

IoT integration

PyTorch

OpenCV

ONNX

TensorRT

Kubernetes

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Docker

K3s

YOLO

NVIDIA DeepStream

Job description

Overview

Senior hands‑on individual contributor responsible for enabling enterprise Vision Intelligence capabilities across Computer Vision, Vision‑Language Models (VLMs), Vision Agents, Edge AI and IoT. Partners with Domain and Enterprise Architecture teams to translate business needs and architecture patterns into scalable, production‑ready capabilities.

Responsibilities

• Serve as the technicalSME for Vision Intelligence, covering CV, VLMs, Vision Agents, Edge AI and IoT.
• Design, train, evaluate and productionize CV models for detection, classification, segmentation, tracking, OCR, anomaly detection and activity recognition.
• Develop VLM and multimodal solutionsfor image/video understanding, visual reasoning and operational intelligence.
• Build Vision Agentscombining visual intelligence, IoT telemetry, enterprise context, tools and workflows.
• Enable reusable platform capabilities including 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 UAand related technologies.
• Establish Vision MLOpspractices for datasets, evaluation, CI/CD, deployment, monitoring and model drift.
• Partner with Manufacturing, Warehouse, Quality, EHS and other domains to move solutions from POC Pilot Production Scale.
• Evaluate emerging CV, VLM, Edge AI, Vision Agent and Physical AItechnologies through hands‑on prototyping and benchmarking.
• Collaborate with Domain and Enterprise Architectsand mentor engineering teams on Vision Intelligence implementation.

Qualifications

• Overall 10+ years of overall experience is required.
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 8–12+ yearsof AI/software engineering experience, including 5+ years in Computer Vision/Vision AI.
• Strong hands‑on experience developing and deploying production‑grade CV models and real‑time video analytics.
• Practical experience with VLMs, multimodal AI and Vision Agents.
• Experience with PyTorch, OpenCV, YOLO, ONNX, TensorRT, NVIDIA DeepStreamor equivalent technologies.
• Experience deploying AI on GPU/edge platforms, containers and Kubernetes/K3s.
• Strong IoT/OT integrationexperience with cameras, sensors, gateways and industrial environments.
• Experience with CV/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 AIis a plus.