Deputy Director - AI Solution and Platforms Observability

PepsiCo; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

PepsiCo is seeking a Senior hands-on contributor to enable enterprise Vision Intelligence capabilities across CV, VLMs, Vision Agents, Edge AI and IoT. You will partner with domain and architecture teams to translate business needs into scalable, production-ready capabilities.

The role requires deep technical expertise, hands-on model development, and collaboration across manufacturing, warehouses and quality domains to move solutions from PoC to production at multiple sites.

Qualifications

• Overall experience in AI/software engineering with a focus on CV/VLMs and Vision AI.
• Hands-on experience designing, training and deploying production-grade CV models.
• Experience with VLMs, multimodal AI and Vision Agents.
• Strong experience deploying AI on GPU/edge platforms and in 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 and tracking.
• Develop VLM and multimodal solutions for image/video understanding and operational intelligence.
• Build Vision Agents combining visual intelligence, IoT telemetry and workflows.
• Enable reusable platform capabilities including inference services, APIs, SDKs and model pipelines.
• 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 and OPC UA.
• Establish Vision MLOps practices for datasets, CI/CD, deployment and monitoring.
• Collaborate with Manufacturing, Quality, EHS and other domains to scale solutions.
• Evaluate emerging CV/VLM technologies through prototyping and benchmarking.
• Mentor engineering teams on Vision Intelligence implementations.

Skills

Vision Intelligence

Edge AI & IoT

CV Model Deployment

MLOps

Mentoring Teams

Education

Bachelor's degree in CS/Engineering

Tools

PyTorch

OpenCV

YOLO

ONNX

TensorRT

NVIDIA DeepStream

Job description

Overview

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

Key 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

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.