11 feb
Luxoft
Xico
Project description
The Open Video project is focused on OTT platform development for one of the largest North American TV providers.
We are seeking a highly skilled AI Engineer to join our Software Quality Engineering (SQE) team.
The ideal candidate will have a dual focus: contributing to AI/ML solution development while performing responsibilities typical of a Software Development Engineer in Test (SDET).
This role involves building and deploying AI-powered solutions for enhancing software testing, automation frameworks, and processes.
Responsibilities AI Engineering:AI Solution Development:Develop AI-powered solutions to improve software quality assurance processes.Leverage frameworks like Retrieval-Augmented Generation (RAG)
and other state-of-the-art AI/ML frameworks to design innovative testing and debugging tools.Create models for triaging and debugging test case failures using structured and unstructured data, such as log files.Framework Optimization:Enhance testing processes with AI to automate root-cause analysis, bug detection, and recommendation systems.Collaborate with cross-functional teams to integrate AI solutions into existing software testing pipelines.MLOps Development:Design, implement, and maintain robust MLOps pipelines for continuous integration and deployment of AI/ML models.Automate workflows for model training, evaluation, and deployment.SDET Responsibilities:Test Case Creation & Maintenance:Write, maintain, and optimize manual and automated test cases for functional, regression, and performance testing.Collaborate with development teams to define test strategies and acceptance criteria for new features.Automation Framework Development:Build and enhance automation frameworks for Android, Web, and backend systems using tools like Appium, Selenium,
or equivalent.Integrate automation pre-checks, post-checks, and reporting systems to ensure test case reliability.Code Review & Collaboration:Review and provide feedback on code quality and design for testability.Work closely with software engineers and other SDETs to drive testing best practices.Test Data Management:Work with engineering teams to ensure proper test data management, including synthetic data generation for testing AI-based solutions.SKILLS Must have AI/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 have N/A
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