AI/ML Quality Assurance Leader

6 days ago

Hyderabad, Telangana, India beBeeQuality Full time ₹ 1,76,21,200 - ₹ 2,53,19,328
Job Title

As a Lead Engineer for AI/ML Quality Assurance, you will be responsible for shaping the quality standards of machine learning and deep learning models deployed on IoT edge devices.

This is an opportunity to lead the design of automated test frameworks, validate model performance under real-world conditions, and ensure seamless integration of AI technologies into next-generation IoT products.

The Role
  • 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 development teams to ensure models meet production-grade quality standards.
  • Work with DevOps engineers to integrate ML model validation into CI/CD workflows.
  • Drive design and deep-dive discussions with development teams to improve test coverage and model reliability.
Requirements
  • Bachelors degree in Electrical Engineering or Computer Science (or equivalent combination of education and experience).
  • 8+ Years of relevant industry experience.
  • Strong experience in software quality assurance, particularly in testing ML/DL models and systems.
  • Hands-on knowledge of machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Familiarity with DevOps tools like Docker, Kubernetes, Jenkins, GitLab CI, etc., for automated builds, testing, and deployment.
  • Experience with ML model optimization for edge devices (e.g., TensorRT, OpenVINO, Edge TPU).
  • Understanding of machine learning, deep learning, and natural language processing.
  • Exposure to MLOps practices such as model versioning and lifecycle management.
  • Proven ability to lead technical discussions and mentor junior engineers.
  • Strong collaboration skills to work effectively across global teams.
About the Opportunity

As a member of our team, you will contribute to the development of cutting-edge AI/ML solutions that drive innovation and growth.

We promote work-life balance and a welcoming, inclusive environment where every engineer makes a meaningful impact.

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