MNC Co. Looking For Edge AI & Computer Vision Bangalore

Role & responsibilities

• Technical Delivery & Architecture
• • Lead end-to-end technical delivery of Edge AI, Computer Vision, and Generative / Agentic
• AI solutions
• • Drive architecture and delivery planning for AI systems deployed on edge devices and on-
• premise infrastructure
• • Guide implementation of:

• Computer Vision and image processing pipelines
• Deep Learning models optimized for edge inference
• Generative AI and agent-based workflows for local reasoning, decision-making, and

automation

• Sensor integration and real-time data acquisition

• • Collaborate with architects to design hybrid AI systems where GenAI/agents operate locally
• or in coordination with centralized services
• Edge Optimization & Performance
• • Ensure optimization across:

• Model size, inference latency, throughput, and accuracy trade-offs
• Efficient execution of GenAI models and agent logic on constrained platforms
• Platform-specific acceleration (CPU, GPU, NPU, DSP)

• • Drive techniques such as quantization, pruning, distillation, and hardware-aware
• optimization
• • Oversee benchmarking, performance tuning, and real-time validation
• Platform, Deployment & Lifecycle

• Lead deployment of AI solutions on embedded, edge, and on-premise platforms
• Coordinate integration with cameras, sensors, industrial devices, and IoT systems

Domain & Stakeholder Collaboration

• Translate domain needs into technical delivery plans, AI KPIs, and system constraints
• Communicate risks, trade-offs, and performance expectations to stakeholders

Delivery Leadership & Governance

• Own delivery plans, schedules, dependencies, and technical risks for complex AI programs
• Drive Agile / Hybrid delivery models supporting hardwaresoftware co-development
• Ensure compliance with safety, regulatory, and quality standards where applicable