Machine Learning Engineer

Posted 20 Days Ago
Portland, OR, USA
In-Office
Senior level
Information Technology • Software
The Role
The Machine Learning Engineer will apply extensive experience in machine learning and data science, focusing on model deployment, data analysis, and causal inference within production environments.
Summary Generated by Built In
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.

Top Skills

Graph Databases
Neo4J
Numpy
Pandas
Python
PyTorch
Rdf
Scikit-Learn
TensorFlow
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The Company
HQ: Lemoyne, PA
21 Employees

What We Do

Chabez Tech is a fast growing IT services and software development firm providing services across several domains. Chabez Tech is headquartered in Pennsylvania with a client base all around the world. Chabez Tech provides a wide variety of IT services, Application development and IT solutions. We have an offshore hub for back end operations and support for clients all over the world. We strongly believe in providing value to our customers by providing accurate and state of the art solutions. We are continuously keeping ourselves on cutting edge of the technology to provide best IT solutions. Business needs are changing rapidly in order to cope up with the ever changing technology we are always trying to reinvent ourselves. We are committed to address your needs with solutions that are highly reliable and scalable. Chabez Tech always looks to develop out of the box solutions to run the business operations in much more efficient way. We strive to excel and focus on customer engagements so that we always exceed the expectations of our clients. Also provides innovative solutions so that our clients are leading the way and have a competitive advantage over others. We measure our success with the success of our clients. Chabez Tech has a dedicated team which is expertise, has rich experience and strong knowledge amongst most of the domains. This perfect blend strives to work towards customer satisfaction and relationship with the clients. Our team works round the clock and available at your service 24/7. We have a passionate team which is always striving for customer satisfaction. Chabez Tech is committed to provide high quality software and IT solutions for your needs. We have a created a place for us in this industry with a basket of existing Domestic and International projects. We are expertise in ERP, Application development, IT Training, DBA services, BPO services and other IT solutions.

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