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:
Robust 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 (India)
🏢 Radiansys Technologies
📍 India