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Machine Learning Engineer

Machine Learning Engineer

Capgemini EngineeringOntario, Canada
4 days ago
Job type
  • Full-time
Job description

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer :

  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child / elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief

About Capgemini Engineering

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.

Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. 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, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get the Future You Want | www.capgemini.com

Job Title : ML Engineer

Job Location : All over Canada and USA

Full Time Employment with Capgemini Engineering

Job Description :

The ML Engineer will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. The candidate will be contributing as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.

Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.

Job Responsibilities :

  • The candidate is responsible for obtaining tasks from the project lead or Team Lead for preparing functional and design specifications and getting them approved with all stakeholders.
  • Ensuring that assigned area / areas are delivered within set deadlines and required quality objectives.
  • Providing estimations, agrees task duration with the manager and contributes to project plan of assigned area.
  • Analysing scope of alternative solutions and makes decision about area implementation based on his / her experience and technical expertise.
  • Leading functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
  • Addressing area-level risks, provides and implements mitigation plan.
  • Reporting about area readiness / quality, and raises red flags in crisis situations which are beyond his / her AOR.
  • Responsible for resolving crisis situations within his / her AOR.
  • Initiating and conducts code reviews, creates code standards, conventions and guidelines.
  • Suggesting technical and functional improvements to add value to the product;

    • Required Skills :

  • We are looking for 1+ years of industry experience post PhD or 3+ years of industry experience along with post graduate degree of developing machine learning models with business impact.
  • Experienced with machine learning methods in building product knowledge graphs.
  • Machine learning background in Python; experienced with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), and Graph-based Models.

    • Nice to have :

  • Experience building large scale, real-time applications
  • Contributor to open-source projects.
  • M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.

    • Disclaimer

    Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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 accommodations do not pose an undue hardship.

    Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

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

    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.

    Applicants for employment in the US must have valid work authorization that does not now and / or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

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    Machine Learning Engineer • Ontario, Canada