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 

Additional Information

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

Job Tags

Contract work, Local area

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