Data Machine Learning Engineer

Capgemini View all jobs

  • Toronto, ON
  • Permanent
  • Full-time
  • 12 hours ago
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.Role Summary
  • Capgemini is seeking a skilled Data Machine Learning Engineer to support a large-scale engagement for a leading Canadian bank
  • This role will focus on designing and building robust data and ML feature inference pipelines with a strong emphasis on automation scalability and production grade solutions
  • The ideal candidate will bring a balanced blend of data engineering and machine learning engineering expertise with hands-on experience in cloud-based platforms
  • The engagement leverages an existing AWS production environment including data pipelines and ML workflows and involves migrating and integrating models from other teams into a centralized AWS based system
Key Responsibilities
  • Design build and maintain automated data ingestion transformation and ML inference pipelines Develop and operationalize ML workflows using AWS native services
  • Support migration of existing ML models into the clients AWS platform
  • Collaborate with cross-functional client and Capgemini teams to ensure production stability data quality and performance
  • Apply best practices in CICD data quality engineering and cloud native development Technology Environment
  • The solution stack includes AWS Glue for data processing AWS SageMaker Notebooks for ML development and model lifecycle management Apache Airflow for orchestration and workflow scheduling Integration with the client's enterprise technology stack
Must Have
  • 3 years of experience in programming using Python Java or equivalent including proficiency with a SQL like language 3 years of experience delivering production software in one or more of the following areas
  • Big data processing e.g. Spark Hadoop or equivalent
  • Data warehousing platforms e.g. Teradata SQL Server PostgreSQL or equivalent
  • Data quality engineering
  • Continuous integration and development.
  • 13 years of experience building and or maintaining machine learning models
  • Hands on experience with Apache Airflow.
  • 13 years of experience with AWS cloud services including AWS Glue SageMaker Athena or equivalent services
Nice to Have Qualifications
  • Experience developing AI Agents and/or GenAI based solutions AWS certifications Data Engineer Associate ML Engineer Associate or equivalent
  • Prior experience in the financial services industry with a broad understanding of Marketing and Product Management, Sales and pricing, Finance and risk management.
The base compensation range for this role in the posted location is: 83,000 to 112,000.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.DisclaimersCapgemini 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.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.Ref. code: 456753Posted on: Apr 15, 2026Experience Level: Experienced ProfessionalsContract Type: PermanentLocation:Toronto, CABrand: CapgeminiProfessional Community: Data & AI

Capgemini