Machine Learning Engineer

Job Description

Job Description

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 

All your information will be kept confidential according to EEO guidelines.