Montréal, Qc Lead java software engineer Jobs – 14 Openings This Week

Senior Computer Vision and Medical Image Processing Engineer – Canada
YULCOM Technologies —Montréal, QC
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Vision care
Java Delivery Manager
Capgemini Sogeti —Montréal, QC
- Azure
- Computer Science
- PMP
- Disability insurance
- Dental care
Java Delivery Manager
Capgemini —Montréal, QC
- Azure
- Computer Science
- PMP
- Disability insurance
- Dental care
Lead Software Developer
OSEDEA —Montréal, QC
- Full-time
- Hybrid work
- Azure
- Research
- Java
- Flexible schedule
Lead Software Engineer - Fixed Income Municipal Securities eTrading (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- English
- Java
- SQL
Software Development Manager
Lightspeed Commerce, Inc. —Montréal, QC
- Full-time
- Hybrid work
- English
- Java
- AWS
Quick apply
1d
Technical Team Leader
Société Générale —Montréal, QC
- Hybrid work
- Azure
- Oracle
- English
AI Full Stack Software Developer
DRW —Montréal, QC
- Computer Science
- Engineering
- Maintenance
Solution Architect Data and AI
Air Canada —Dorval, QC
- Full-time
- Bilingual
- Azure
- Computer Science
OSS Technical Expert
Rogers Communications —Montréal, QC
- Full-time
- Java
- Analysis skills
- JavaScript
- Dental care
- Paid time off
Software Engineer, LUS Backend Platforms
Lyft —Montréal, QC
- $72,000–$90,000 a year
- Hybrid work
- Computer science
- Computer Science
- Engineering
- Commuter benefits
- Dental care
Quick apply
4d
Tech Lead
Xsolla —Montréal, QC
- $80,000–$120,000 a year
- Full-time
- Team management
- Mentoring
- Software development
- Dental care
- Paid time off
Quick apply
Sr. Engineer - Testing & Quality Assurance N 4B
GENPACT CANADA SERVICES COMPANY —Montréal, QC
- $40,000–$75,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- English
Quick apply

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Senior Computer Vision and Medical Image Processing Engineer – Canada

YULCOM Technologies -
Montréal, QC

Apply Now

Job details

Full-time

Qualifications

TensorFlow
Doctoral degree
Computer Science
PyTorch
Engineering
Research
Java
Master's degree
C++
Presentation skills
Machine learning
Report and presentation preparation
Written report writing
OpenCV
Software development
Cloud computing
Picture archiving and communication systems (PACS)
Medical imaging
Electrical Engineering
Cross-functional collaboration
Communication skills
Data warehouse
Cross-functional communication

Full job description

Catégories: AI artificial intelligence IT

Type: full-time

Emplacement: Montréal

Job Category: Developer IT

Job Type: Full time

Job Location: Canada

Job Title: Senior Computer Vision and Medical Image Processing Engineer

Job Type: Full-time

Location: Montreal

Start date: January, 2024

About Us:

YULCOM Technologies is a Montreal-based multinational consulting firm that specializes in information technology, systems integration, and artificial intelligence solutions. YULCOM specializes in web design, software development, web packages and web and mobile applications. It supports its customers in integrating the best digital technologies and improving their process management in North America, Europe, Africa and Asia.

Responsibilities:

1-Develop and Implement Computer Vision Algorithms:

Design and implement advanced computer vision algorithms for the analysis of medical images, with a focus on X-ray and ultrasound modalities.
Utilize machine learning techniques for image segmentation, feature extraction, and pattern recognition.
Implement algorithms specifically geared towards finding and characterizing nodules to facilitate clinical interpretation of medical images.
Collaborate closely with medical professionals to understand clinical needs and ensure that the algorithms contribute to accurate and meaningful findings.

X-ray and Ultrasound Image Processing:

Specialize in the analysis and processing of X-ray and ultrasound images.
Develop and optimize image processing pipelines for enhancing image quality, artifact reduction, and extracting relevant information.

Proposition for a PACS Integration

Possess expertise in integrating computer vision solutions with PACS (Picture Archiving and Communication System) technology.
Collaborate with the IT team to ensure seamless integration into existing healthcare systems, emphasizing data warehousing best practices.

Edge and Cloud Integration:

Implement solutions for both edge and cloud-based environments, ensuring efficient processing and storage of medical imaging data.

Architect and optimize image processing workflows for edge devices and cloud platforms.

Data Warehousing:

Design and implement robust data warehousing solutions for medical imaging data, ensuring scalability, security, and accessibility.
Collaborate with the data engineering team to establish best practices for storing and retrieving medical images.

Algorithm Optimization:

Optimize algorithms for real-time processing and large-scale datasets, ensuring efficient implementation on various platforms.
Collaborate with hardware and software teams for seamless integration.

Research and Development:

Stay current with the latest advancements in computer vision and medical image processing, with a focus on edge and cloud technologies.
Lead research initiatives to explore and implement innovative solutions specific to X-ray and ultrasound imaging, PACS integration, and data warehousing.

Cross-functional Collaboration:

Collaborate with multidisciplinary teams, including software engineers, data scientists, and medical professionals, to understand requirements and refine solutions.

Documentation and Reporting:

Document algorithms, methodologies, and results comprehensively.

Prepare and deliver reports and presentations to stakeholders.

Qualifications:

Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field.
Proven experience in developing and implementing computer vision algorithms, with a focus on X-ray and ultrasound image processing.
Strong programming skills in languages such as Python, C++, or Java.
Proficiency in using popular computer vision and machine learning libraries (e.g., OpenCV, TensorFlow, PyTorch).
Experience with PACS technology integration.
Experience with data warehousing for medical imaging data.
Familiarity with edge and cloud computing technologies.
Strong problem-solving skills and the ability to work independently and as part of a team.
Excellent communication and collaboration skills.

Preferred Skills:

Familiarity with regulatory standards and compliance in the healthcare industry.
Knowledge of GPU programming for parallel computing.

Apply Now

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lead java software engineer jobs in montréal, qc

Senior Computer Vision and Medical Image Processing Engineer – Canada

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Software Development Manager

Technical Team Leader

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Tech Lead

Sr. Engineer - Testing & Quality Assurance N 4B

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