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Edge AI Specialist

Fresher   Coimbatore   06 Jan, 2026
Job LocationCoimbatore
EducationNot Mentioned
SalaryNot Disclosed
IndustryOthers
Functional AreaOthers
EmploymentTypeFull-time

Job Description

    Job Description Edge AI SpecialistRequisition Code: ITC/EAS/hidden_mobile7/26220 Position Title: Edge AI Specialist Location: Coimbatore Job Type: Full-Time Status: Open No. of Positions: 1 Date Posted: 07-Nov-2025Role SummaryThe Edge AI Specialist will be responsible for designing, developing, optimizing, and deploying AI/ML models on edge devices for automotive systems. The role focuses on enabling real-time, low-latency, energy-efficient intelligence directly on hardware platforms, enhancing product performance, privacy, and responsiveness without dependency on cloud processing.This role will collaborate closely with AI/ML, embedded systems, and hardware engineering teams to deliver production-grade Edge AI solutions.Key ResponsibilitiesEdge AI Development
    • Design, implement, and deploy AI/ML models on edge devices for automotive applications.
    • Develop solutions optimized for low-power, real-time, and latency-sensitive environments.
    • Convert and compress models using TensorFlow Lite, PyTorch Mobile, or ONNX Runtime.
    Model Optimization & Deployment
    • Perform model quantization, pruning, and acceleration techniques.
    • Optimize inference performance for ARM-based SoCs and specialized automotive chipsets.
    • Benchmark model speed, memory usage, and performance trade-offs.
    Embedded & Hardware Integration
    • Work with hardware teams to ensure model compatibility with:
      • ARM-based SoCs
      • Qualcomm SA8295
      • Other automotive-grade processors
    • Integrate AI models into embedded software stacks.
    Software Development
    • Develop deployment code using Python, C, and C.
    • Build pipelines to test, validate, and iterate models on edge hardware.
    • Ensure secure, robust, and scalable software integration.
    Testing & Validation
    • Conduct performance testing under real-world automotive constraints.
    • Validate inference accuracy, latency, and thermal/power limitations.
    • Debug and troubleshoot hardware-software integration issues.
    Cross-Functional Collaboration
    • Work with AI, product, and embedded engineering teams for end-to-end execution.
    • Support product roadmap and feature enhancements driven by Edge AI capabilities.
    Skills & CompetenciesTechnical Skills
    • Edge AI development and deployment
    • Deep learning / Machine learning
    • TensorFlow Lite, PyTorch, ONNX
    • ARM-based processors, Qualcomm chipsets (e.g., SA8295)
    • Python, C, C
    • Model optimization (quantization, pruning, compression)
    • Embedded systems familiarity
    Soft Skills
    • Analytical problem-solving
    • Collaboration & communication
    • Innovation mindset
    • Ability to work in fast-paced R&D environments
    Education
    • Bachelors Degree in Computer Science, Electronics, AI/ML, or related field
    Experience
    • 4 to 6 years of experience in AI/ML, Edge AI, embedded AI, or related domains
    Compensation
    • 10,00,000 - 23,00,000 per annum

Keyskills :
pythonmachine learningedgeonnx

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