Python Data & Machine Learning Engineer
About the role
Date Posted: 07/10/2026
Hiring Organization: Rose International
Position Number: 504025
Industry: Financial Services
Job Title: Python Data & Machine Learning Engineer
Job Location: Mississauga, ON, Canada, L5B 1A7
Work Model: Hybrid
Work Model Details: Hybrid -3 days onsite and 2 days remote
Employment Type: Temp to Hire
FT/PT: Full-Time
Estimated Duration (In months): 6
Min Hourly Rate($): 65.00
Max Hourly Rate($): 74.00
Must Have Skills/Attributes: CI/CD tools, Python, RESTful
Experience Desired: Experience in software engineering, data science, machine learning (2-5 yrs); Proficiency in Python, SQL, Spark, PySpark, TensorFlow (2-5 yrs)
Required Minimum Education: Bachelor’s Degree
Preferred Education: Master’s Degree
C2C is not available
Job Description
Required Education
Bachelor's degree/University degree
Preferred Education
Master's degree
Required Skills
2–5 years of experience in software engineering, data science, machine learning, or advanced analytics. Experience developing applications and analytical solutions using Python. Familiarity with machine learning concepts, model development, and AI technologies. Proficiency in Python, SQL, Spark, PySpark, TensorFlow, or similar technologies. Familiarity with Linux environments and shell scripting. Ability to work independently and collaboratively within a team environment.
Preferred Skills
Exposure to GenAI and LLM-based solutions. Experience with distributed computing technologies such as Hadoop, Hive, Spark, or similar platforms. Experience in banking, financial services, or risk management environments. Familiarity with credit risk, capital markets, financial instruments, or quantitative modeling. Understanding of software development lifecycle (SDLC), CI/CD, and cloud-based development environments.
Responsibilities
Design, develop, test, and support Python-based applications and analytical solutions. Perform data extraction, cleansing, transformation, and analysis from structured and unstructured data sources. Develop and enhance predictive and prescriptive models using statistical, machine learning, and AI techniques. Support implementation of machine learning solutions in development and production environments. Apply object-oriented programming principles and established engineering standards to deliver high-quality solutions. Collaborate with business, technology, and data teams to understand requirements and develop appropriate solutions. Contribute to application design, coding, testing, debugging, and deployment activities. Participate in model development, monitoring, and performance evaluation processes. Utilize Python, SQL, and related technologies to develop scalable analytical solutions. Develop and maintain scripts and automation solutions using Linux and shell scripting. Implement unit testing and support test-driven development practices. Document technical solutions, methodologies, and processes. Stay current with emerging technologies, including ML, DL, LLMs, and GenAI. Adhere to technology risk, security, compliance, and control requirements.
#CT1
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.).
Similar Jobs
Python Data & Machine Learning Engineer
About the role
Date Posted: 07/10/2026
Hiring Organization: Rose International
Position Number: 504025
Industry: Financial Services
Job Title: Python Data & Machine Learning Engineer
Job Location: Mississauga, ON, Canada, L5B 1A7
Work Model: Hybrid
Work Model Details: Hybrid -3 days onsite and 2 days remote
Employment Type: Temp to Hire
FT/PT: Full-Time
Estimated Duration (In months): 6
Min Hourly Rate($): 65.00
Max Hourly Rate($): 74.00
Must Have Skills/Attributes: CI/CD tools, Python, RESTful
Experience Desired: Experience in software engineering, data science, machine learning (2-5 yrs); Proficiency in Python, SQL, Spark, PySpark, TensorFlow (2-5 yrs)
Required Minimum Education: Bachelor’s Degree
Preferred Education: Master’s Degree
C2C is not available
Job Description
Required Education
Bachelor's degree/University degree
Preferred Education
Master's degree
Required Skills
2–5 years of experience in software engineering, data science, machine learning, or advanced analytics. Experience developing applications and analytical solutions using Python. Familiarity with machine learning concepts, model development, and AI technologies. Proficiency in Python, SQL, Spark, PySpark, TensorFlow, or similar technologies. Familiarity with Linux environments and shell scripting. Ability to work independently and collaboratively within a team environment.
Preferred Skills
Exposure to GenAI and LLM-based solutions. Experience with distributed computing technologies such as Hadoop, Hive, Spark, or similar platforms. Experience in banking, financial services, or risk management environments. Familiarity with credit risk, capital markets, financial instruments, or quantitative modeling. Understanding of software development lifecycle (SDLC), CI/CD, and cloud-based development environments.
Responsibilities
Design, develop, test, and support Python-based applications and analytical solutions. Perform data extraction, cleansing, transformation, and analysis from structured and unstructured data sources. Develop and enhance predictive and prescriptive models using statistical, machine learning, and AI techniques. Support implementation of machine learning solutions in development and production environments. Apply object-oriented programming principles and established engineering standards to deliver high-quality solutions. Collaborate with business, technology, and data teams to understand requirements and develop appropriate solutions. Contribute to application design, coding, testing, debugging, and deployment activities. Participate in model development, monitoring, and performance evaluation processes. Utilize Python, SQL, and related technologies to develop scalable analytical solutions. Develop and maintain scripts and automation solutions using Linux and shell scripting. Implement unit testing and support test-driven development practices. Document technical solutions, methodologies, and processes. Stay current with emerging technologies, including ML, DL, LLMs, and GenAI. Adhere to technology risk, security, compliance, and control requirements.
#CT1
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.).