What are the responsibilities and job description for the Sr. Quality Engineer - AI & Machine Learning Models position at ClinDCast?
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.
Compensation : $60.00 per hour
Empowering the Future of Healthcare
The healthcare Industry is on the brink of a paradigm shift where patients are increasingly being viewed as empowered consumers, utilizing digital technologies to better understand and manage their own health. As a result, there is a growing demand for a range of patient-centric services, including personalized care that is tailored to each individual's unique needs, health equity that ensures access to care for all, price transparency to make healthcare more affordable, streamlined prior authorizations for medications, the availability of therapeutic alternatives, health literacy to promote informed decision-making, reduced costs, and many other initiatives designed to improve the patient experience.
ClinDCast is at the forefront of shaping the future of healthcare by partnering with globally recognized healthcare organizations and offering them innovative solutions and expert guidance. Our suite of services is designed to cater to a broad range of needs of healthcare organizations, including healthcare IT innovation, electronic health record (EHR) implementation & optimizations, data conversion, regulatory and quality reporting, enterprise data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application programming interface (API) strategy.
Salary : $60
