Key Responsibilities:
- Develop and execute test strategies for Machine Learning, Deep Learning, and Tiny LLM models deployed on IoT/Edge devices.
- Validate model accuracy, robustness, scalability, and inference performance under real-world IoT conditions.
- Design automated testing frameworks for ML pipelines, feature extraction, model inference, and Edge/Cloud integrations.
- Test integration of AI/ML components with firmware, middleware, connectivity layers, and cloud APIs.
- Collaborate with AI/ML development teams to ensure production-grade model quality.
- Integrate ML model validation and testing into CI/CD workflows.

Required Technical Skills:
- Strong understanding of AI/ML concepts and ML pipeline orchestration




- Hands-on exposure to TensorFlow, PyTorch, or Scikit-learn
- Experience in AI/ML testing and automated test framework development
- Knowledge of MLOps, model versioning, deployment, and validation workflows
- Experience with Docker, Kubernetes, Jenkins, or GitLab CI
- Exposure to IoT, Edge AI, or Edge Computing
- Knowledge of model optimization technologies such as TensorRT, OpenVINO, or Edge TPU

Positive to Have:
- NLP exposure
- Tiny LLM experience
- AI/ML model optimization for resource-constrained Edge devices

📌 Ai / Ml Iot Engineer (Hyderabad)
🏢 Radiansys Technologies
📍 Hyderabad