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Position: Automation Execution Framework – Development, Testing (BB48FT RM 3803)
Essential duties and responsibilities:
Design and implement AI-powered agents to automate test pipelines, reducing manual intervention and improving efficiency
Develop intelligent test orchestration systems that can adapt to changing requirements and optimize test execution
Integrate AI/ML models into CI/CD workflows for predictive testing and anomaly detection
Build frameworks for automated test generation, execution, and result analysis using deep learning techniques
Develop comprehensive monitoring solutions using Prometheus for infrastructure, applications, and ML models
Design and implement custom metrics, alerts, and dashboards for system health and performance tracking
Manage and optimize Kubernetes clusters for ML workloads and test environments
Build and maintain containerized applications using Docker with best practices for security and efficiency
Qualifications:
Solid understanding of machine learning concepts and model evaluation metrics
Experience testing AI/ML models or data-driven systems
Strong Python skills for test automation and framework development
Hands-on experience with Kubernetes including deployment, scaling, and cluster management
Proficiency in Prometheus for metrics collection, alerting, and visualization
Expert knowledge of containerization technologies, particularly Docker
Solid understanding of MLOps principles and tools for model deployment and monitoring
Experience with container orchestration and on-prem architectures
PREFERRED:
Knowledge of PCIe Gen4/5/6 technology , SPI interfaces.
Familiarity with Grafana, ELK stack, or other observability tools
Knowledge of fairness testing and bias detection in AI
Experience with exploratory testing techniques for AI systems
Background in software testing methodologies and test automation frameworks
SKILLS:
Capable of developing wide system view for complex embedded systems
Excellent interpersonal skills
Strong can-do attitude
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