Ai / Ml Iot Engineer

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

Good to Have:

• NLP exposure
• Tiny LLM experience
• AI/ML model optimization for resource-constrained Edge devices