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Capgemini

Campus I&D: Associate Application Consultant

Mississauga, ON, Canada

The base compensation range for this role in the posted location is $45,000 to $65,000.

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Job details

Pay: The base compensation range for this role in the posted location is $45,000 to $65,000.
Apply by: Sep 1, 2027
Posting language: English
Posted: Nov 3, 2026

Original job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

AI & Machine Learning Development
• Develop and support predictive and generative AI solutions, including NLP, computer vision, and LLM-based applications.
• Utilize cloud platforms (Azure, AWS, GCP) and big data tools (Databricks, Pyspark) to build AI solutions.
• Support the development of AI agents and agentic workflows to automate business processes.
• Assist with deploying, monitoring, and optimizing AI models in production environments.
• Build and maintain data pipelines, data lakes, and data warehouses to support analytics and AI initiatives.
• Apply machine learning techniques such as regression, classification, clustering, and forecasting.
• Collaborate with cross-functional teams to integrate AI solutions into business applications.

Qualifications
• Pursuing or recently completed a degree in Computer Science, Data Science, AI, Engineering, Statistics, or a related field.
• Academic, internship, co-op, research, or project experience in AI, machine learning, software development, or data analytics.
• Experience with Python, SQL, and machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, Lang Chain, Hugging Face).
• Strong analytical, problem-solving, and communication skills.
• Passion for AI, emerging technologies, and innovation.

About The Job You’re Considering

As an Associate Application Consultant, you will be part of a dynamic project team supporting the delivery, enhancement, and maintenance of business-critical applications. You will work closely with senior consultants, technical experts, and client stakeholders to develop technical and functional capabilities while contributing to successful project outcomes.

This role is designed for recent graduates with strong analytical skills, a passion for technology, and a desire to build a career in consulting and application services.

Your Role

Participate in application development, configuration, testing, implementation, and support activities.
Analyze business and technical requirements and assist in translating them into effective solutions.
Support coding, debugging, unit testing, and deployment activities in accordance with project standards.
Assist in incident management, defect resolution, and production support activities.
Prepare and maintain technical documentation, user guides, and project deliverables.
Collaborate effectively with cross-functional teams to ensure timely and high-quality delivery.
Adhere to Capgemini delivery methodologies, quality standards, security policies, and compliance requirements.
Continuously learn new technologies, tools, and domain knowledge through training and project experience.
Participate in knowledge-sharing initiatives and contribute to continuous improvement activities.

Your Skills And Experience

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Information Systems, or a related discipline.
Strong academic record and demonstrated learning agility.
Basic understanding of Software Development Life Cycle (SDLC).
Foundational knowledge of programming concepts, databases, and application development principles.
Strong analytical, problem-solving, and critical-thinking skills.
Effective verbal and written communication skills.
Ability to work collaboratively in a team-oriented environment.

The base compensation range for this role in the posted location is $45,000 to $65,000.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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More about this job

Responsibilities

Participate in the development, configuration, testing, and support of business-critical applications while collaborating with cross-functional teams. Assist in analyzing business requirements and translating them into effective technical solutions while adhering to project standards.

Requirements

Requires a Bachelor's or Master's degree in Computer Science, Engineering, or a related field with a strong academic record. Candidates must possess foundational knowledge of the Software Development Life Cycle and experience with programming languages like Python and SQL.

Skills

Python
SQL
Azure
AWS
GCP
Databricks
Pyspark
PyTorch
TensorFlow
Scikit-learn
Lang Chain
Hugging Face
Machine learning
Data analytics
Software development
Artificial intelligence

Benefits

Paid time off
Company paid holidays
Personal days
Sick leave
Medical coverage
Dental coverage
Vision coverage
Retirement savings plans
Life insurance
Disability insurance
Employee assistance programs

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
NLP
Computer Vision
LLM
Cloud Platforms
Big Data
Data Pipelines
Data Lakes
Data Warehouses
Consulting
Application Development
Predictive Modeling
Agentic Workflows
Python
SQL
PyTorch
TensorFlow
Scikit-learn
Lang Chain
Hugging Face
Azure
AWS
GCP
Databricks
Pyspark
Technical Documentation
Incident Management

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