Key skills
AirflowAzureCypressDockerJavaJavaScriptJenkinsKubernetesPythonPyTorchSeleniumTensorflowAIMachine LearningMLTensorFlowMLOpsMLflowPlaywrightPytestSageMakerPostman
About this role
Role Overview
- Lead quality assurance initiatives for AI-driven products
- Analyze intricate problems and provide impactful solutions
- Mentor junior team members to enhance their skills
- Maintain exceptional standards in project deliverables
- Build and nurture meaningful client relationships
- Collaborate with cross-functional teams to provide product reliability
- Enhance technical knowledge in machine learning systems
- Navigate complex situations to drive project success
Requirements
- Bachelor's Degree in Computer Science, Data Science, or related field
- 4 years of experience in software testing or quality engineering
- Oral and written proficiency in English required
- Python, JavaScript, or Java, with experience using PyTest, Robot Framework
- Strong understanding of AI/ ML
- ML platforms such as TensorFlow, PyTorch, MLflow, or SageMaker
- MLOps tools (Docker, Kubernetes, Airflow, Jenkins, Azure ML, etc.) and data validation frameworks (Great Expectations, Pandera, etc.)
- Automation testing tools (Selenium, Playwright, Cypress) and API testing (Postman, REST Assured)
Tech Stack
- Airflow
- Azure
- Cypress
- Docker
- Java
- JavaScript
- Jenkins
- Kubernetes
- Python
- PyTorch
- Selenium
- Tensorflow
Benefits
- Health insurance
- Professional development opportunities