Ai / Ml Iot Engineer

Radiansys Technologies; Hyderabad; Hybrid; INR 1,500,000 - 2,300,000; Full time

Job summary

Radiansys Technologies in Hyderabad is seeking a skilled ML Test Engineer to lead validation and automated testing for AI/ML models deployed on edge devices. You will design and implement test strategies, ensure robustness, and drive CI/CD integration with firmware, middleware and cloud APIs.

Ideal candidates have hands-on experience with TensorFlow or PyTorch, strong knowledge of ML pipelines, and exposure to edge computing. Hyderabad-based role with crossing collaboration across AI/ML teams.

Qualifications

• Strong understanding of AI/ML concepts and ML pipeline orchestration.
• Hands-on with 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.

Responsibilities

• Develop and execute test strategies for ML/DL models on IoT/Edge devices.
• Validate model accuracy, robustness, scalability, and inference performance in real IoT conditions.
• Design automated testing frameworks for ML pipelines and Edge/Cloud integrations.
• Test integration of AI/ML components with firmware, middleware, connectivity layers, and cloud APIs.
• Collaborate with AI/ML teams to ensure production-grade model quality.
• Integrate ML model validation and testing into CI/CD workflows.

Skills

AI/ML concepts

ML pipeline orchestration

Testing & automation

Edge AI/IoT

Model validation

CI/CD integration

MLOps

TensorFlow

PyTorch

Scikit-learn

Tools

Docker

Kubernetes

Jenkins

GitLab CI

TensorRT

OpenVINO

Job description

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