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
Bachelors or masters 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.
Remote Work :
No
Employment Type :
Contract
Job Title: Machine Learning EngineerLocation: Portland OR - Onsite (Local only / F2F interview)Duration: 24 Months ContractExperience Level: 5 years of experienceRequired Qualifications Bachelors or masters degree in computer science Machine Learning Electrical Engineering or related field 5 ...
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
Bachelors or masters 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.
Remote Work :
No
Employment Type :
Contract
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