What are the responsibilities and job description for the Sr. Quality Engineer AI & Machine Learning Models position at ClinDCast LLC?
Job Description
Job Description
Job Description :
We are seeking a Machine Learning QA Engineer with a strong background in testing ML / AI models to ensure robustness, reliability, and fairness. The ideal candidate will have expertise in computer vision models , ML frameworks, and MLOps best practices.
Responsibilities :
- Design and execute comprehensive test strategies for ML models, focusing on performance, accuracy, bias detection, and adversarial testing.
- Validate computer vision models (CNNs, transformers, object detection, segmentation) to ensure they meet quality standards.
- Develop and automate test cases for ML pipelines using frameworks such as TensorFlow, PyTorch, and OpenCV .
- Evaluate model performance using AUC, F1-score, precision-recall, confusion matrices, and other metrics .
- Conduct explainability analysis (XAI) to assess and interpret model decisions.
- Test model deployment in cloud and edge computing environments , ensuring smooth integration and performance.
- Implement ML model versioning using tools like MLflow, DVC, or similar .
- Work with Docker, Kubernetes , and CI / CD pipelines to optimize ML testing processes.
- Collaborate with data scientists, engineers, and DevOps teams to enhance ML testing strategies.
- Monitor model performance in production and contribute to automation for continuous evaluation.
Requirements :
Preferred Qualifications :
Flexible work from home options available.
