drjobs IoT Device Developer

IoT Device Developer

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Job Location drjobs

Noida - India

Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Title : Gen AI IOT Developer
Overall experience: 510 yrs
Preferred Location: Noida
Mandatory Skills: GenAI with IoT experience


Skills:

Programming Skills:
Proficiency in languages like Python R or Java with a focus on AI libraries (TensorFlow PyTorch).
  • C/C: Common for firmware and lowlevel programming.
  • Python: Used for scripting data analysis and backend services.
  • JavaScript: Often used in web interfaces and for Node.js applications
Machine Learning: Understanding of supervised unsupervised transfer and reinforcement learning techniques.
Data Preprocessing: Skills in cleaning transforming and preparing data for AI models.
Embedded AI: Knowledge of deploying AI models on edge devices with limited resources.
IoT Protocols: Familiarity with protocols like MQTT and CoAP for device communication.
Realtime Processing: Skills in handling realtime data streams and analytics.
Edge Computing Knowledge:
Understanding of edge architecture and how it differs from cloud computing.
  • Familiarity with edge devices gateways and local data processing.
Model Optimization:
Skills in optimizing AI models for resourceconstrained environments (quantization pruning).
  • Experience with frameworks like TensorFlow Lite or ONNX for deploying models on edge devices.
Embedded Systems:
Knowledge of embedded programming languages (C C) and platforms (Raspberry Pi NVIDIA Jetson).
  • Understanding of hardwaresoftware integration.
  • Understanding microcontrollers and hardware platforms (e.g. Arduino Raspberry Pi).
  • Familiarity with RealTime Operating Systems (RTOS).
Networking Protocols:
Familiarity with protocols for edge communication (MQTT CoAP etc.).
  • Knowledge of realtime data transmission and lowlatency networking.
  • Knowledge of IoT protocols like MQTT CoAP HTTP/HTTPS.
  • Understanding of networking concepts (TCP/IP DNS etc.).
Security Practices
Skills in securing edge devices and data at rest and in transit.
  • Understanding of device authentication and identity management.
Monitoring and Maintenance:
Experience with monitoring tools to track performance and health of edge AI deployments.
Cloud Platforms and Services
  • Familiarity with cloud IoT platforms (AWS IoT Google Cloud IoT Azure IoT).
  • Experience with cloud computing concepts and services (storage databases analytics).
DevOps and Continuous Integration/Continuous Deployment (CI/CD)
  • Experience with version control (Git) and CI/CD tools (Jenkins Travis CI).
  • Familiarity with containerization (Docker Kubernetes).

continuous integration/continuous deployment,raspberry pi,tcp/ip,mqtt,monitoring and maintenance,c++,c,javascript frameworks,embedded systems,r,edge computing,real-time operating systems (rtos),java,aws,c/c++,iot,real-time processing,data preprocessing,devops,python,model optimization,cloud platforms and services,https,machine learning,networking protocol,networking protocols,azure,security practices,iot protocols,coap,arduino,genai,embedded ai

Employment Type

Full Time

Company Industry

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