Internet of Things Engineer

2 months ago

india Tredence Inc. Full time

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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