Internet of Things Engineer

Experience - 5-10 Yrs

Skills:

IoT – Azure IoTHUB, EdgeOps, Edge Platforms, Linux, NVIDIA, Docker, K8s, GitHub, Azure DevOps, CI/CD, Industrial Automation (PLC, SCADA), Manufacturing and industrial Process SME like (Automobile, Cement etc)

Python - Python Automation, API Scripting, Flask, Streamlit, Azure Services, AWS Services

Data Science - Databricks, PySpark, Pandas, GenAI, AI/ML Frameworks, Library, Models, Graph DB, Neo4j, Data Modelling

Jira – Project Management software to log and update the tasks

Requirements:

Python Developer with expertise in Python automation.

and skills in constructing end-to-end architectures for IoT solutions, including real-time data streaming from IoT devices to the Cloud for AI/ML upstream processing.

in developing applications and platforms from scratch, end to end.

with Edge Platforms such as Litmus, EdgeX Foundry, Ignition.

in Databricks with Pyspark and pandas skills.

familiarity with Azure cloud platform and services, particularly IoT-related services like IoTHub for edge platforms and real-time data streaming for AI/ML solutions.

with Docker and Kubernetes, specifically for Edge Devices, along with proficiency in Azure DevOps and GitHub for CI/CD processes.

experience with ARM and AMD architectures.

experience in developing AI solutions using various ML frameworks, libraries, and models

experience with Linux systems and NVIDIA platforms like Jetson Nano, including CUDA programming for GPU and CPU access.

of Industrial Automation processes and technologies, with an understanding of manufacturing processes and machinery data generation and flow.

in writing code in Visual Studio Code and integrating Azure services.

in utilizing SDKs to connect and retrieve data.

with Graph DB like Neo4j for creating genealogy or traceability reports.

in data modelling within Smart Manufacturing and Supply Chain Management (SCM) domains.

and implement container-orchestration to DEVOPs platform for managing and scaling micro-services.

reusable libraries/functions and maintain existing applications by troubleshooting issues, implementing bug fixes, and optimizing performance.

in implementing RESTful APIs and designing and implementing cloud architecture patterns.