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

Qualifications:
Additional Information

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