About the Role:

We are looking for a highly skilled AI/ML IOT engineer - SQA with 5+ Years of relevant industry experience.

Key Responsibilities

- 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:

- Solid 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.

#LI-Hybrid #LI-

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI/ML IOT engineer - SQA (Hyderabad)
🏢 Ciber
📍 Hyderabad