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MNC Co. Looking For Edge AI & Computer Vision Bangalore

MNC Co. Looking For Edge AI & Computer Vision Bangalore

Staffing Services

8 - 10 years

15 - 25 Lacs

bengaluru

Posted:3 days ago| Platform:

Apply

Skills Required

agentic ai generative ai edge ai technical delivery computer vision premises ai solutions hardware platforms manufacturing technical projects medical diagnostics automotive edge deployment

Work Mode

Work from Office

Job Type

Full Time

Job Description

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

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