Ai Software Development Engineer in Test

hace 4 semanas


Desde casa, México Luxoft A tiempo completo

**Project description**:Open Video project is focused on OTT platform development for one of the largest North American TV providers.**Responsibilities**:AI Engineering:AI Solution Development:1.Develop AI-powered solutions to improve software quality assurance processes.1.Leverage frameworks like Retrieval-Augmented Generation (RAG) and other state-of-the-art AI/ML frameworks to design innovative testing and debugging tools.1.Create models for triaging and debugging test case failures using structured and unstructured data, such as log files.Framework Optimization:2.Enhance testing processes with AI to automate root-cause analysis, bug detection, and recommendation systems.2.Collaborate with cross-functional teams to integrate AI solutions into existing software testing pipelines.MLOps Development:3.Design, implement, and maintain robust MLOps pipelines for continuous integration and deployment of AI/ML models.3.Automate workflows for model training, evaluation, and deployment.SDET Responsibilities:Test Case Creation & Maintenance:1.Write, maintain, and optimize manual and automated test cases for functional, regression, and performance testing.1.Collaborate with development teams to define test strategies and acceptance criteria for new features.Automation Framework Development:2.Build and enhance automation frameworks for Android, Web, and backend systems using tools like Appium, Selenium, or equivalent.2.Integrate automation pre-checks, post-checks, and reporting systems to ensure test case reliability.Code Review & Collaboration:3.Review and provide feedback on code quality and design for testability.3.Work closely with software engineers and other SDETs to drive testing best practices.Test Data Management:4.Work with engineering teams to ensure proper test data management, including synthetic data generation for testing AI-based solutions.**Skills**:Must haveAI/ML Expertise:Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Experience with MLOps tools (e.g., MLflow, Kubeflow, AWS Bedrock, SageMaker).Proficiency in RAG frameworks and understanding of knowledge-based systems.Familiarity with LangChain and Hugging Face Transformers. Experience working with Streamlit.Strong command on all AWS services and prompt engineering techniques and Dspy.SDET Expertise:Proficiency in test automation tools (e.g., Appium, Selenium, JUnit, TestNG).Strong programming skills in languages like Python, Java.Experience with CI/CD tools like Jenkins, GitLab CI, or equivalent.General Skills:Familiarity with cloud platforms (e.g., AWS, GCP, Azure).Knowledge of SQL and database management for test data validation.Strong debugging and troubleshooting skills in software systems.Nice to haveN/A**Other**:LanguagesEnglish: B2 Upper IntermediateSenioritySeniorRemote Mexico, MexicoReq. VR- Automated Testing JavaCross Industry Solutions07/02/2025Req. VR-



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