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 application
- s 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 Knowledg
- e Understanding of edge architecture and how it differs from cloud computing
- .Familiarity with edge devices, gateways, and local data processing
.Model Optimizatio
- n 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 System
- s 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 Protocol
- s 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 Maintenanc
- e Experience with monitoring tools to track performance and health of edge AI deployments
.Cloud Platforms and Service
- sFamiliarity 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)
.Skills: edge computing knowledge,networking protocols,scripting,firmware,supervised learning,mqtt,genai,c++,data preprocessing,gcp,embedded systems,jenkins,monitoring and maintenance,iot protocols,embedded,pytorch,tensorflow,c/c++,coap,cloud,tcp/ip,https,ci/cd,freertos,real-time processing,unsupervised learning,model optimization,azure,cloud platforms and services,java,iot,r,git,embedded ai,data analysis,nvidia,security practices,microcontrollers,python,machine learning,aws,c,kubernetes,devops,ci,raspberry pi,docker
