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Added 17 hours ago
IG
Senior Data Analyst
IMCS Group
ON · Ontario, Canada
- Contract
We are seeking a detail-oriented and analytical Data Analyst to support our business decisions through meaningful insights derived from data. You will be responsible for collecting|…
Added 17 hours ago
AI
Senior Oracle Database Administrator
Apptoza Inc.
Toronto, ON
- Contract
1.Collaborate with application development teams on data modeling| schema design| and deployment of complex PLSQL packages| procedures| triggers| and views.
Added 17 hours ago
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General Repair Technician
BGIS
Barrie, ON
- Full-time
…form dispatched through to completion and records resolution data within service maintenance management database. Ensures work completed meets quality, contract response and all other…
Added 17 hours ago
GS
Analyste d'affaires système (BSA) Guidewire ( Senior)
Groupe SII
Montreal, QC
- Full-time
Added 17 hours ago
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Maintenance Team Lead
BGIS
Barrie, ON
- Full-time
Added 17 hours ago
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Data Architect - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Our Data Architecture & Engineering teams helps organizations modernize their data ecosystems and build the foundations required for analytics, machine learning, artificial intelligence,…
Added 17 hours ago
Applied Machine Learning Developer
Redlen Technologies Inc.
Saanichton, BC
The Applied Machine Learning Developer develops machine learning, computer vision, and advanced analytical solutions for complex scientific, product-performance, reliability, sensor, and…
Added 17 hours ago
Senior Product Engineer - Listing Quality
Faire
Kitchener, ON · Toronto, ON
…fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite…
Added 17 hours ago
Manager, CWM Analytics, GWM - Toronto/Ottawa
Scotiabank
Toronto, ON
Knowledge of modern data platforms and cloud-based analytics environments.
Added 17 hours ago
Principal Software Engineer - Agentic Engineering Platform
OpenTable
Toronto, ON
Design, build, integrate, and operate shared cloud agents and developer tools that connect AI models with company knowledge, codebases, APIs, and engineering systems, giving agents the…
Added 17 hours ago
Principal Software Engineer - Agentic Engineering Platform
OpenTable
Toronto, ON
Design, build, integrate, and operate shared cloud agents and developer tools that connect AI models with company knowledge, codebases, APIs, and engineering systems, giving agents the…
Added 17 hours ago
C
Senior Java Developer - Vice President
Citi
Mississauga, ON
- Full-time
As a Senior Java Developer at Citi, you will design and build the microservices architecture behind global reference data solutions used by clients around the world. Working within a global…
Added 17 hours ago
ED
Director, Corporate Development
Estruxture Data Centers
AB · Rocky View County, Alberta
- Full-time
eStruxture Data Centers is Canada’s largest Canadian-owned data center provider, operating 16 cloud-neutral facilities across Montreal, Toronto, Vancouver, and Calgary. Trusted by nearly…
Added 17 hours ago
ED
Director, Corporate Development
Estruxture Data Centers
Toronto, ON
- Full-time
eStruxture Data Centers is Canada’s largest Canadian-owned data center provider, operating 16 cloud-neutral facilities across Montreal, Toronto, Vancouver, and Calgary. Trusted by nearly…
Added 17 hours ago
B
Senior Data Engineer (Databricks Focused)
BDO
Vancouver, BC · Mississauga, ON · Oakville, ON · Ottawa, ON · Toronto, ON
- Full-time
Implement data integration solutions across cloud and on-premises sources, leveraging Databricks and Azure Data Lake.
Added 17 hours ago
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Senior Data Engineer (Databricks Focused)
BDO
Calgary, AB · AB · Winnipeg, MB · Halifax, NS · Montreal, QC
- Full-time
Implement data integration solutions across cloud and on-premises sources, leveraging Databricks and Azure Data Lake.
Added 17 hours ago
RG
Project Manager, Technology Transformation
Rohit Group
Edmonton, AB
- Full-time
Manage data integration, business intelligence, automation, and financial reporting initiatives to enhance organizational capabilities.
Added 18 hours ago
QW
GenAI Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Looking explicitly for GenAI development experience. Data Science/ML experience will not counted. ******
Added 18 hours ago
MT
Software Engineer
MVP Talent Corp
Calgary, AB
- $130,000 to $140,000 CAD / year
- Full-time
Full-Stack Developer using AI-Assisted Development Techniques
Added 18 hours ago
SG
Senior DevOPS Engineer
Societe Generale
Montreal, QC
- Full-time
…across Société Générale by leveraging Technology (Digital, Data & AI) and Talent. It supports business efficiency, differentiation, and growth through its five core functions: Information…
Added 18 hours ago
ES
Senior Oracle Application Database Administrator
Epsilon Solutions Ltd.
Toronto, ON
- Full-time
…operations, while helping drive our database modernization and cloud migration…
Added 18 hours ago
DM
Lead Software Developer / Développeur(euse) logiciel principal(e)
DIAGNOS Medical Systems (TSX: ADK.V)
Brossard, QC
- Full-time
We are looking for a Lead Software Developer who enjoys being close to the code while helping a team succeed. In this role, you will guide the engineering team through the development of…
Added 18 hours ago
S
DevOps Engineer
Synechron
Montreal, QC
- $80,000 to $90,000 CAD / year
- Full-time
…include end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering. Our 13 FinLabs serve as hubs where we innovate and develop cutting-edge…
Added 18 hours ago
CO
Senior Quality Improvement Analyst
City of Winnipeg
Winnipeg, MB
- Full-time
Under the general direction of the Assistant Chief Research and Data Intelligence, the Senior Quality Improvement Analyst will lead data, analytics and insight for the Fire Paramedic…
Added 18 hours ago
TT
ERP Project Manager Canada (Remote Ottawa, CA)
Tsunami Tsolutions
Remote, Canada
- $110,000 to $145,000 CAD / year
- Full-time
- Remote
…of ERP implementation lifecycles, business-process change, data migration, integrations, testing, training, and organizational readiness in complex, asset-intensive environments. The…

Redlen Technologies Inc.

Applied Machine Learning Developer

Saanichton, BC, Canada

Salary Range: $100,000 - $125,000 CAD

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Job details

Pay: Salary Range: $100,000 - $125,000 CAD
Posting language: English
Posted: Nov 3, 2026

Original job description

Why Redlen Technologies?

Redlen Technologies is a pioneering company that has revolutionized the semiconductor crystal growth and fabrication process.

At Redlen Technologies, innovation is at the heart of everything we do. Our founder's visionary work with the Canadian Space Agency laid the foundation for our groundbreaking Cadmium Zinc Telluride (CZT) sensors, revolutionizing medical imaging, security imaging, and non-destructive testing. We are driving a quantum leap forward in medical CT scanners, elevating diagnostic accuracy while reducing radiation dose– a technological feat that has earned us global recognition. With a commitment to excellence, we have earned the trust of Fortune 500 industry customers, leading to our acquisition by Canon Inc. for $430M– a testament to our industry leadership.

With over 200 dedicated professionals, we take pride in fostering a work environment where Science, Technology, Engineering, and Math (STEM) professionals thrive. As an equal opportunity employer we demonstrate that diversity drives innovation, and we are passionate about building a future where every employee contributes to our mission-driven success. Redlen's teams, mirroring the multifaceted diversity of Canadian society, exemplify our commitment to leveraging a wide range of ideas and backgrounds as a driving force for innovation, business excellence, and pioneering advancements in STEM.

Product Performance

Redlen’s Product Performance team is dedicated to ensuring our detector modules meet the highest standards of reliability, performance, and application suitability. The team plays a critical role in connecting detector design and manufacturing to real-world imaging outcomes by driving initiatives in reliability, image quality optimization, verification, validation & test (VV&T), and data-driven performance analysis. Leveraging advanced data science techniques, robust testing protocols, and cross-functional collaboration, Product Performance ensures that every detector we deliver supports world-class photon-counting CT imaging and exceeds customer expectations.

Data Science

The Data Science team builds the models, pipelines, and tools required to convert high-throughput detector data into actionable insight. By enabling scalable analysis of reliability, production, and in-field data, they support failure mode identification, performance characterization, and system optimization. They operate as a connective layer across Product Performance, Reliability, and Image Quality, ensuring decisions are grounded in quantitative evidence.

About the Role

The Applied Machine Learning Developer develops machine learning, computer vision, and advanced analytical solutions for complex scientific, product-performance, reliability, sensor, and manufacturing data. The role works with multidisciplinary teams to translate technical problems into robust analytical solutions that improve defect detection, product characterization, process understanding, and data-driven decision-making.

Responsibilities

Machine Learning & Model Development

Develop and validate machine learning models for classification, regression, clustering, anomaly detection, and prediction using complex scientific and manufacturing datasets.
Design feature-engineering, model-selection, cross-validation, and evaluation strategies suitable for noisy, imbalanced, high-dimensional data.
Evaluate when machine learning or deep learning provides meaningful value over established statistical, signal-processing, or algorithmic approaches.

Computer Vision & Image Analysis

Develop computer-vision and image-processing algorithms for automated detection, classification, segmentation, and characterization of spatial defects and patterns.

Time-Series & Anomaly Detection

Develop methods for time-series analysis, change detection, and anomaly detection to identify abnormal or degrading sensor behavior.

ML Workflows & Software Development

Develop reproducible and scalable machine learning workflows for data preparation, feature engineering, model training, validation, and deployment across local and cloud-based environments, including AWS.
Translate successful experiments and notebooks into maintainable, reusable Python and MATLAB software and analytical tools.

Model Validation & Statistical Analysis

Quantify model uncertainty and false-positive/false-negative risk.
Communicate model assumptions, limitations, and validation results clearly.

Cross-Functional Collaboration

Collaborate with data scientists, software developers, data engineers, scientists, technologists, and domain experts to define problems and deliver practical solutions.

Other

Other duties as assigned and relevant to the role.

Qualifications

Required Experience

Approximately 5+ years developing applied machine learning solutions.
Analysis of time-series, spatial, sensor, imaging, or other high-dimensional scientific datasets.
Computer vision and image-processing applications using OpenCV, scikit-image, PyTorch, TensorFlow, or comparable tools.
SQL and structured analytical datasets within complex technical environments.

Skills

Strong proficiency in Python, including NumPy, pandas, SciPy, and scikit-learn.
Strong understanding of supervised and unsupervised learning methods, including classification, regression, clustering, and anomaly detection.
Solid statistical foundation, including cross-validation, precision and recall, class imbalance, uncertainty quantification, and data-leakage prevention.
Strong software development practices, including version control, modular design, testing, code review, and technical documentation.
Ability to translate ambiguous technical questions into well-defined analytical problems and independently develop appropriate analytical approaches.
Familiarity with AWS services such as S3, Athena, Glue, SageMaker, Lambda, and ECR/ECS is considered an asset.
Excellent verbal and written communication skills in English.

Personal Attributes

Strong analytical thinking and technical judgment.
Comfortable working with ambiguity and independently advancing complex technical problems.
Pragmatic approach to balancing scientific rigor with business and operational priorities.

Preferred Experience

Applied machine learning or advanced analytics supporting product performance, reliability, manufacturing, scientific, sensor, or other technically complex datasets.
Scientific computing, algorithm development, signal processing, image processing, simulation, or experimental-data analysis using MATLAB.
Cloud-based data processing and machine learning workflows in AWS environments.
Modern data-lake and lakehouse architectures, including Parquet-based ecosystems.
Deep learning techniques using PyTorch, TensorFlow, or equivalent frameworks.
MLOps practices including Docker, MLflow, CI/CD, model deployment, and experiment tracking.
Semiconductor, medical imaging, industrial sensing, scientific instrumentation, reliability, predictive maintenance, condition monitoring, or similar technical domains.

Education

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

Salary Range: $100,000 - $125,000 CAD

At Redlen, we prioritize clarity in our hiring process. The salary range posted above reflects the minimum and maximum for new hire salaries, taking into account factors such as job-related skills and expertise, relevant training and education, and business needs. It is common for ranges to span multiple levels in order to attract top talent across experience levels. It is uncommon to be hired at the top of the range; however, in exceptional cases where a candidate's skills and expertise significantly exceed the role's requirements, we may consider offering a higher salary. If you believe your skill set falls outside this range and you’re interested in exploring opportunities with Redlen, please reach out to our People & Culture Team (T.A. Specialists or Business Partners), specifying how your expertise aligns with our teams, so we can collaborate on potential opportunities. We believe in developing those that demonstrate quality performance and promise.

Total Rewards and Benefits

Competitive salary and performance-based bonuses.
Comprehensive health, dental, and vision insurance.
RRSP retirement plan with employer match component.
Professional development opportunities.
Generous paid time off and holidays.
Vibrant and inclusive workplace culture.

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More about this job

Responsibilities

Develop and validate machine learning, computer vision, and analytical models to improve product performance, defect detection, and manufacturing processes. Collaborate with multidisciplinary teams to translate complex technical problems into scalable, data-driven solutions.

Requirements

Requires approximately 5+ years of experience in applied machine learning and analysis of high-dimensional scientific datasets. Candidates must possess strong proficiency in Python, statistical modeling, and image processing tools, along with a Master's degree in a quantitative field.

Skills

Machine learning
Computer vision
Python
NumPy
Pandas
SciPy
Scikit-learn
PyTorch
TensorFlow
SQL
Time-series analysis
Statistical analysis
Image processing
AWS
Data modeling
Anomaly detection

Benefits

Competitive salary
Performance-based bonuses
Health insurance
Dental insurance
Vision insurance
RRSP retirement plan with employer match
Professional development opportunities
Paid time off
Paid holidays

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Computer Vision
Python
AWS
Semiconductor
Medical Imaging
Data Science
Signal Processing
Anomaly Detection
Predictive Maintenance
MATLAB
OpenCV
Scikit-learn
PyTorch
TensorFlow
SQL
Time-series Analysis
Statistical Modeling
MLOps
Docker
CI/CD
Data Engineering
Photon-counting CT
Sensor Data
Manufacturing
Reliability Engineering
Feature Engineering
Cross-validation
Uncertainty Quantification
Data Lake

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