Applied ML Developer for Imaging & Sensor Analytics

Redlen Technologies Inc.; Central Saanich; On-site; CAD 100,000 - 125,000; Full time

Job summary

Redlen Technologies Inc. is seeking an Applied Machine Learning Developer to translate complex scientific data into robust analytical solutions for detector performance and reliability.

You will build ML and CV models, develop scalable workflows in Python and MATLAB, and collaborate with cross-functional teams to improve defect detection and product characterization. The role emphasizes rigorous validation, uncertainty analysis, and data-driven decision making, with exposure to AWS services and

Qualifications

• 5+ years developing applied machine learning solutions.
• Experience analyzing time-series, spatial, sensor, imaging, or high-dimensional data.
• Experience with computer vision and image-processing using OpenCV, scikit-image, PyTorch, or TensorFlow.
• SQL and structured analytical datasets within complex technical environments.

Responsibilities

• Develop ML models for classification, regression, clustering, anomaly detection.
• Develop CV and image-analysis algorithms for defect characterization.
• Create reproducible ML workflows across local and AWS environments.
• Translate experiments into maintainable Python and MATLAB tools.
• Collaborate with cross-functional teams to deliver practical solutions.

Skills

Python

NumPy

pandas

SciPy

scikit-learn

Time-series analysis

Statistical analysis

Cross-validation

Uncertainty quantification

AWS

Education

Master’s degree in Computer Science, Data Science, Applied Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering, or related quantitative field

Tools

OpenCV

scikit-image

PyTorch

TensorFlow

SQL

MATLAB

AWS

Job description

Redlen Technologies Inc. is seeking an Applied Machine Learning Developer to translate complex scientific data into robust analytical solutions for detector performance and reliability.

You will build ML and CV models, develop scalable workflows in Python and MATLAB, and collaborate with cross-functional teams to improve defect detection and product characterization. The role emphasizes rigorous validation, uncertainty analysis, and data-driven decision making, with exposure to AWS services and