AI with AWS Bedrock
- Qentelli
- 5 - 10 years
- Hyderabad
- 4 days ago
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Job Description
Job Summary
The Test Automation Engineer will be responsible for building and maintaining robust test automation frameworks using Python and/or Java. The role involves creating automated test suites across functional, regression, performance, and integration areas, along with supporting the testing of AI/ML models. The engineer will work closely with product and engineering teams to understand requirements, design test strategies, and ensure product quality. This position also includes contributing to CI/CD pipelines, improving testing efficiency through new tools and AI-driven solutions, and maintaining strong documentation and best practices.
Role and responsibilities
- Design, develop, and maintain test automation frameworks using Python and/or Java.
- Build automated test suites for functional, regression, performance, and integration testing.
- Participate in testing of AI/ML models, including validating outputs, datasets, model accuracy, and edge-case behaviors.
- Implement AI-assisted testing tools and contribute to developing intelligent test solutions.
- Collaborate with cross-functional teams to understand product requirements and convert them into test strategies.
- Identify root causes of defects and work with engineering teams to resolve them.
- Perform code reviews, maintain test documentation, and ensure best testing practices.
- Contribute to CI/CD pipelines with automated quality gates.
- Continuously evaluate and integrate new tools, frameworks, and AI capabilities to improve test efficiency.
Required Skills and Qualification
- Bachelors degree in computer science, Engineering, or related field (or equivalent experience).
- Strong experience in test automation using Python and/or Java.
- Solid understanding of testing methodologies, QA processes, and automation principles.
- Exposure to AI/ML concepts such as model training, model inference, datasets, bias, and evaluation metrics.
- Experience working with API testing tools (e.g., Postman, REST Assured, PyTest).
- Hands-on experience with automation frameworks like Selenium, Playwright, Cypress, or Robot Framework.
- Familiarity with CI/CD platforms (Jenkins, GitHub Actions, GitLab CI, etc.).
- Strong analytical and debugging skills.
- Preferred Qualifications
Preferred Skills
- Experience testing AI/ML pipelines or platforms.
- Understanding of LLMs, NLP, generative AI, or ML workflows.
- Knowledge of cloud platforms (AWS, Azure, GCP).
- Experience with containerization tools (Docker, Kubernetes).
- Familiarity with data validation, data quality tools, or synthetic data generation.
- Experience with test-case generation using AI tools.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: QentelliLocation(s): Hyderabad
Keyskills: Artificial Intelligence Machine Learning AWS Bedrock Python
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