Senior Engineer - SQA in AI/ML

5 - 10 years

9 - 13 Lacs

Posted:7 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Develop and execute test strategies for machine learning, deep learning, and Tiny LLM models running on IoT edge devices.
  • Validate model accuracy, robustness, and scalability under real-world IoT data conditions.
  • Design automated frameworks to test data pipelines, feature extraction, inference performance, and edge/cloud integration.
  • Ensure seamless integration of ML/DL modules into the IoT platform software stack (firmware, middleware, connectivity, and cloud APIs).
  • Collaborate with ML developers to ensure models meet production-grade quality standards.
  • Work with DevOps engineers to integrate ML model validation into CI/CD workflows.
Requirements :
  • Bachelor s degree in Electrical Engineering or Computer Science (or equivalent combination of education and experience.
  • 5+ Years of relevant industry experience
  • Strong understanding of machine learning frameworks such as TensorFlow, PyTorch, scikit-learn.
  • Experience in designing and executing automated test frameworks for ML/DL systems.
  • Familiarity with DevOps tools like Docker, Kubernetes, Jenkins, GitLab CI.
  • Exposure to ML model optimization for edge devices (e.g., TensorRT, OpenVINO, Edge TPU).
  • Knowledge of MLOps practices, including model versioning and deployment workflows.
  • Understanding of natural language processing and Tiny LLMs is a plus

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