AI Automation Engineer - AI/ML, Test Automation, Python/Java & SAP
Astra North Infoteck Inc.
AI Automation Engineer – AI/ML, Test Automation, Python/Java & SAP
Location:
• Toronto, ON - Hybrid (4 Days WFO)
Duration:
• 12 months
Role Description:
• We are seeking experienced automation engineers to support our Quality Engineering and automation initiatives.
• Design and implement AI-driven automation solutions to enhance testing efficiency and accuracy across critical business domains, including compensation systems, database validation, and business process automation.
Key Responsibilities:
• Design Automation Solutions: Develop intelligent automation frameworks leveraging AI/ML to automate complex testing and business process scenarios.
• Assess and Optimize Current Processes: Evaluate existing automation practices; identify gaps and opportunities for AI enhancement.
• Build AI-Powered Frameworks:
• Intelligent test case generation and prioritization.
• Anomaly detection and validation.
• Automated test data generation.
• Process optimization and monitoring.
• Shift to AI-Driven Automation: Introduce next-generation methodologies moving beyond traditional scripted automation toward predictive and adaptive models.
• Mentorship & Knowledge Transfer: Guide teams on new AI-powered automation tools and best practices.
• Proof of Concepts: Deliver POCs demonstrating ROI within 1–2 months.
Required Qualifications:
• 5+ years in automation, QA, testing, or related engineering roles.
• 3+ years working with AI/ML technologies (Python, TensorFlow, PyTorch, scikit-learn, or similar).
• Strong automation framework expertise (Selenium, Appium, REST APIs, RPA tools).
• Proficiency in Python, Java, or similar languages.
• Experience with data analysis and validation.
• Strong problem-solving and communication skills.
Preferred Qualifications:
• SAP knowledge or ERP system experience.
• Experience with LLM applications for automation or documentation.
• Familiarity with RBC's tech stack or banking/financial systems.
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience with cloud platforms (AWS, Azure, GCP).
• Contributions to automation or AI communities.
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