Overview
On Site
Hybrid
USD 58.00 per hour
Full Time
Skills
Computer Science
Mathematics
Python
Node.js
Algorithms
Computer Vision
Natural Language Processing
TensorFlow
PyTorch
scikit-learn
Flask
GraphQL
Amazon SageMaker
Vertex
Artificial Intelligence
NoSQL
Database
PostgreSQL
MongoDB
Orchestration
Docker
Kubernetes
Version Control
Git
Continuous Integration
Continuous Delivery
Machine Learning Operations (ML Ops)
Message Queues
Streaming
Apache Kafka
RabbitMQ
Mobile Applications
Virtual Private Cloud
React.js
Authentication
Warehouse
Computer Hardware
RFID
Mobile Devices
Android Development
Machine Learning (ML)
Use Cases
Java
Spring Framework
RESTful
Microservices
Database Design
Training
Collaboration
DevOps
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Systems Architecture
Job Details
Date Posted: 11/03/2025
Hiring Organization: Rose International
Position Number: 490889
Industry: Retail
Job Title: Software Engineer
Job Location: Toronto, ON, Canada, M5V 1V6
Work Model: Hybrid
Work Model Details: One day a week onsite
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 7
Min Hourly Rate($): 58.00
Max Hourly Rate($): 63.00
Must Have Skills/Attributes: Kafka, PostgreSQL, Pytorch
Experience Desired: Machine Learning, Python (02 yrs); Java, Restful API, Spring Boot (05 yrs)
Required Minimum Education: Bachelor's Degree
Preferred Education: Master's Degree
**C2C is not available**
Job Description
***One day a week onsite***
Education:
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field with atleast 5 years of experience or more
Requirements:
Proficient in Python and familiar with other backend languages like Java, Go, or Node.js
Solid understanding of machine learning algorithms , statistical methods, computer vision and Natural language processing models
Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Experienced in developing RESTful APIs using frameworks like FastAPI and Flask, with a strong understanding of REST architecture and familiarity with GraphQL
Familiarity with cloud services and ML deployment tools (e.g., SageMaker, Vertex AI) and deploying machine learnings models in production and monitoring them
Experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB)
Familiarity with containerization and orchestration tools (Docker, Kubernetes)
Strong grasp of version control (Git) and CI/CD practices.
Preferred Qualifications:.
Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Airflow).
Exposure to message queues or streaming platforms (e.g., Kafka, RabbitMQ).
Experience developing mobile applications on Android platform
Experience working with VPC, Cloud Run, Load Balancers, Artifact/Container Registry in Google Cloud
Experience in developing front end systems using React
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you're interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join Client- a company you can be proud to be a part of.
About the team
Authenticity Guarantee is an important initiative in Client where a select category of items are authenticated by professional authenticators in order to increase buyer confidence & satisfaction Authentication Technology is the team responsible for building software for orchestrating the Authentication process and storing high value items. The team is also responsible for building software for warehouse operations including integration with custom hardware, RFID readers & mobile devices running on android platform
About the Role:
We are seeking a talented and motivated Software Engineer with Machine Learning skills to join our team. You will be responsible for building, deploying, and maintaining machine learning models and also backend systems and APIs that support them. You'll collaborate with software engineers, and product teams to develop scalable, production-ready ML solutions.
Key Responsibilities:
Design, build, and deploy machine learning models for various use cases (e.g., prediction, classification, recommendation).
Design, develop, and maintain scalable backend services using Java and Spring Boot.
Implement RESTful APIs and microservices architecture ensuring high performance and reliability.
Strong expertise in relational database design & development
Build and maintain scalable data pipelines for training and serving models.
Collaborate with frontend engineers, product managers, and DevOps teams.
Monitor, evaluate, and optimize model performance in production.
Work with text and image datasets and cloud platforms (e.g., AWS, Google Cloud Platform, Azure).
Contribute to system architecture and design discussions.
Write clean, efficient, and well-documented code.
Return to office requirements
Need to come to Client office in Toronto atleast once a week currently which can increase to more number of days in future
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Hiring Organization: Rose International
Position Number: 490889
Industry: Retail
Job Title: Software Engineer
Job Location: Toronto, ON, Canada, M5V 1V6
Work Model: Hybrid
Work Model Details: One day a week onsite
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 7
Min Hourly Rate($): 58.00
Max Hourly Rate($): 63.00
Must Have Skills/Attributes: Kafka, PostgreSQL, Pytorch
Experience Desired: Machine Learning, Python (02 yrs); Java, Restful API, Spring Boot (05 yrs)
Required Minimum Education: Bachelor's Degree
Preferred Education: Master's Degree
**C2C is not available**
Job Description
***One day a week onsite***
Education:
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field with atleast 5 years of experience or more
Requirements:
Proficient in Python and familiar with other backend languages like Java, Go, or Node.js
Solid understanding of machine learning algorithms , statistical methods, computer vision and Natural language processing models
Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Experienced in developing RESTful APIs using frameworks like FastAPI and Flask, with a strong understanding of REST architecture and familiarity with GraphQL
Familiarity with cloud services and ML deployment tools (e.g., SageMaker, Vertex AI) and deploying machine learnings models in production and monitoring them
Experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB)
Familiarity with containerization and orchestration tools (Docker, Kubernetes)
Strong grasp of version control (Git) and CI/CD practices.
Preferred Qualifications:.
Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Airflow).
Exposure to message queues or streaming platforms (e.g., Kafka, RabbitMQ).
Experience developing mobile applications on Android platform
Experience working with VPC, Cloud Run, Load Balancers, Artifact/Container Registry in Google Cloud
Experience in developing front end systems using React
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you're interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join Client- a company you can be proud to be a part of.
About the team
Authenticity Guarantee is an important initiative in Client where a select category of items are authenticated by professional authenticators in order to increase buyer confidence & satisfaction Authentication Technology is the team responsible for building software for orchestrating the Authentication process and storing high value items. The team is also responsible for building software for warehouse operations including integration with custom hardware, RFID readers & mobile devices running on android platform
About the Role:
We are seeking a talented and motivated Software Engineer with Machine Learning skills to join our team. You will be responsible for building, deploying, and maintaining machine learning models and also backend systems and APIs that support them. You'll collaborate with software engineers, and product teams to develop scalable, production-ready ML solutions.
Key Responsibilities:
Design, build, and deploy machine learning models for various use cases (e.g., prediction, classification, recommendation).
Design, develop, and maintain scalable backend services using Java and Spring Boot.
Implement RESTful APIs and microservices architecture ensuring high performance and reliability.
Strong expertise in relational database design & development
Build and maintain scalable data pipelines for training and serving models.
Collaborate with frontend engineers, product managers, and DevOps teams.
Monitor, evaluate, and optimize model performance in production.
Work with text and image datasets and cloud platforms (e.g., AWS, Google Cloud Platform, Azure).
Contribute to system architecture and design discussions.
Write clean, efficient, and well-documented code.
Return to office requirements
Need to come to Client office in Toronto atleast once a week currently which can increase to more number of days in future
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.