SDET (Software Development Engineer in Test) with AI/ML Experience

We are seeking a Software Development Engineer in Test (SDET) with strong AI/ML experience for a remote opportunity. The ideal candidate will have a minimum of 10 years of experience in SDET roles, with a proven track record of testing AI/ML-based applications and frameworks.

This is a great opportunity for someone who has deep knowledge of software testing, AI/ML concepts, and the ability to automate complex testing scenarios for AI-driven products and services.

Key Responsibilities:

• Develop, execute, and maintain automated tests for AI/ML applications, ensuring quality and accuracy of the implemented models and algorithms.
• Design and implement test strategies that focus on AI/ML performance, model accuracy, and data integrity.
• Work closely with data scientists, machine learning engineers, and developers to define test cases and strategies for AI-driven projects.
• Automate testing processes for end-to-end AI pipelines, including data ingestion, data transformation, model training, and model evaluation.
• Build and maintain automated testing frameworks using languages such as Python, Java, or other relevant technologies.
• Perform functional testing, regression testing, and performance testing on AI-driven applications and platforms.
• Use AI/ML tools such as TensorFlow, PyTorch, or similar platforms to test AI workflows and models.
• Collaborate with cross-functional teams to understand requirements, troubleshoot issues, and ensure high-quality releases.
• Analyze test results and provide feedback on performance and accuracy of the AI/ML models.
• Contribute to continuous improvement of the testing processes, leveraging automation tools and methodologies.

Mandatory Skills & Qualifications:

• 10+ years of experience in SDET roles, with a strong focus on AI/ML applications.
• Deep knowledge of AI/ML concepts, including familiarity with model testing, model validation, and performance optimization.
• Hands-on experience with automated testing frameworks (e.g., Selenium, JUnit, TestNG, Robot Framework).
• Strong programming skills in Python, Java, or similar languages, with experience building and maintaining test automation scripts.
• Experience testing machine learning models and AI algorithms in production environments.
• Understanding of data science workflows and ability to test AI models for data integrity and accuracy.
• Strong experience in functional, regression, and performance testing of AI/ML-based applications.
• Ability to collaborate effectively with both technical and non-technical teams, including developers, data scientists, and product managers.
• Excellent troubleshooting skills with a keen eye for detail in identifying root causes of issues and proposing solutions.
• H1B or H4EAD visa holders only.

Preferred Additional Skills:

• Familiarity with DevOps tools and CI/CD pipelines for automation testing (e.g., Jenkins, GitLab, CircleCI).
• Experience with AI/ML testing frameworks and tools such as TensorFlow Extended (TFX), MLflow, Kubeflow, or H2O.ai.
• Understanding of cloud platforms (e.g., AWS, Azure, GCP) for managing AI/ML infrastructure and testing AI models at scale.

Experience working in Agile environments and participating in scrum teams.