![Tredence Inc.](https://media.trabajo.org/img/noimg.jpg)
Internet of Things Engineer
3 weeks ago
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.
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