Machine Learning Engineer – Fault Tree Modeling & Root Cause Analysis (RCA)

Machine Learning Engineer – Fault Tree Modeling & Root Cause Analysis (RCA) About Chabez Tech Chabez Tech is a Data Engineering & AI Products company headquartered in Pennsylvania, focused on enabling organizations to achieve operational and customer excellence through advanced data and AI solutions. We specialize in solutions integration and implementation support, providing the right talent and scalable platforms to help businesses accelerate outcomes and navigate complex digital transformations. Our strengths include: • Operational excellence through data-driven systems • Expertise across MLOps, data governance, security, and compliance • Flexible, customizable AI and data platform solutions • Multi-domain expertise across industries Role Overview We are seeking a highly skilled Machine Learning Engineer to design and develop advanced AI systems for fault tree modeling, root cause analysis (RCA), and failure prediction in complex environments. This role goes beyond traditional ML engineering and requires expertise in causal inference, knowledge graphs, and explainable AI (XAI) to build interpretable, scalable, and production-ready systems that support real-world decision-making. You will collaborate with cross-functional teams to deliver AI-driven diagnostic solutions that improve operational efficiency and reliability. Key Responsibilities • Design and implement ML models for fault detection, failure prediction, and root cause analysis • Develop fault tree models representing system dependencies and failure modes • Apply causal inference techniques to uncover true root causes from complex datasets • Build and integrate knowledge graphs to model relationships and hierarchies • Develop explainable AI (XAI) solutions for transparency and trust • Engineer scalable data pipelines for time-series, sensor, and event-driven data • Collaborate with domain experts to encode failure logic and workflows • Deploy and optimize models in production environments • Validate model outputs using real-world data and reproducible frameworks • Contribute to the architecture of AI-driven diagnostics platforms Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Electrical Engineering, or a related field • 5+ years of experience in machine learning, data science, or AI engineering • Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) • Experience with time-series data analysis and anomaly detection • Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models) • Experience with knowledge graphs (Neo4j, RDF, graph databases) • Familiarity with Explainable AI techniques (SHAP, LIME, counterfactuals) • Experience deploying ML models in production systems • Strong problem-solving and analytical skills Preferred Qualifications • Experience with Fault Tree Analysis (FTA) or reliability engineering • Background in industrial systems, manufacturing, or IoT environments • Experience with graph-based ML / Graph Neural Networks (GNNs) • Familiarity with RCA methodologies (FMEA, 5 Whys, fishbone diagrams) • Experience with vector databases, RAG systems, or LLM-based reasoning • Knowledge of MLOps practices (CI/CD, monitoring, model governance) • Experience working in secure or air-gapped environments Key Skills • Causal reasoning and probabilistic modeling • Knowledge graph design and querying • Explainable and interpretable AI • Time-series modeling and anomaly detection • Fault tree modeling and diagnostics • Production ML systems and scalability Why Join Chabez Tech • Work on cutting-edge AI and data engineering products • Solve high-impact business problems with measurable outcomes • Build scalable, explainable AI systems for real-world applications • Be part of a fast-growing company focused on innovation and operational excellence • Gain exposure to diverse industries and use-cases