GenAI IOT Developer

Title : Gen AI IOT Developer
Overall experience: 6 to 9 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 low-level 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.
Real-time Processing: Skills in handling real-time 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 resource-constrained 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 hardware-software integration.
Understanding microcontrollers and hardware platforms (e.g., Arduino, Raspberry Pi).
Familiarity with Real-Time Operating Systems (RTOS).

Networking Protocols:
Familiarity with protocols for edge communication (MQTT, CoAP, etc.).
Knowledge of real-time data transmission and low-latency 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).