Deputy Director - Software / AI

Pepsico; Hyderabad; Hybrid; INR 3,500,000 - 5,500,000; Full time

Job summary

PepsiCo is hiring a Deputy Director - Software / AI for Hyderabad to lead Vision Intelligence initiatives across CV, VLMs, Edge AI and IoT. You will mentor teams, design scalable pipelines and drive production deployments for enterprise-scale applications.

The role requires strong hands-on expertise, architecture collaboration and the ability to translate business needs into robust AI capabilities across sites.

Qualifications

• Experience delivering Vision Intelligence solutions for CV and multimodal AI.
• Hands-on in training and productionizing CV models for real-time analytics.
• Proven ability to deploy AI workloads on GPU/edge platforms and orchestrate with Kubernetes.

Responsibilities

• Serve as the technical SME for Vision Intelligence covering CV, VLMs, Edge AI and IoT.
• Design, train, evaluate and productionize CV models for detection, segmentation and OCR.
• Develop VLM/multimodal solutions for image/video understanding and operational intel.
• Build Vision Agents and reusable platform capabilities including APIs and pipelines.
• Deploy AI workloads across edge GPUs, industrial PCs, cameras and cloud/edge environments.
• Integrate cameras, sensors and IoT/OT systems using standard protocols.
• Establish Vision MLOps practices for datasets, CI/CD, monitoring and drift.
• Collaborate with domain teams and mentor engineering on Vision Intelligence.

Skills

Vision Intelligence

Computer Vision

VLMs/Multimodal AI

Edge AI/IoT

PyTorch/OpenCV

Kubernetes/Docker

IoT integration

MLOps/CI/CD

GPU/Edge deployment

Education

Bachelor's degree in CS/Engineering

Tools

YOLO

ONNX

TensorRT

NVIDIA DeepStream

Job description

Dear candidate

We are hiring for Deputy Director - Software / AI for Hyderabad Location

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.

Key Responsibilities:

• Serve as the technical SME 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 solutions for image/video understanding, visual reasoning 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.
• 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 AI technologies through hands-on prototyping and benchmarking.
• Collaborate with Domain and Enterprise Architects and mentor engineering teams on Vision Intelligence implementation.

Qualifications:

• Overall 10+ years of overall experience is required.
• Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience)
• 812+ years of 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 DeepStream or equivalent technologies.
• Experience deploying AI on GPU/edge platforms, containers and Kubernetes/K3s.
• Strong IoT/OT integration experience 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 AI is a plus.