Machine Learning Engineer

Job Description Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications - Bachelor’s or master’s degree in computer science, Machine Learning, Electrical Engineering, or 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 building or working with knowledge graphs (Neo4j, RDF, graph databases) - Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis) - Experience deploying ML models in production systems - Strong problem-solving skills and ability to work with complex, real-world datasets Preferred Qualifications - Experience with fault tree analysis (FTA), reliability engineering, or failure analysis - Background in industrial systems, semiconductors, 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 air-gapped or high-security environments Additional Information All your information will be kept confidential according to EEO guidelines.