GenAI Developer

Capgemini; Montreal; On-site; CAD 70,000 - 90,000; Full time

Job summary

A global business and technology transformation partner is seeking a GenAI Developer in Montreal. The role involves training and fine-tuning generative models like GPT, integrating AI into applications, and supporting data preparation. Candidates should have a bachelor's degree in a relevant field, familiarity with Python and ML libraries, and strong problem-solving skills. The company offers comprehensive healthcare and a supportive work environment focused on well-being and inclusion.

Benefits

Healthcare including dental and vision

Financial well-being programs

Paid time off and holidays

Paid parental leave

Family building benefits

Mentoring and coaching programs

Qualifications

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence or similar.
• Familiarity with Python and libraries like PyTorch or TensorFlow.
• Basic understanding of neural networks and generative models.

Responsibilities

• Assist in training and fine-tuning generative models like GPT, Stable Diffusion.
• Collaborate with team members to integrate AI models into applications.

Skills

Familiarity with Python

Machine learning libraries (e.g., PyTorch, TensorFlow)

Strong problem-solving skills

Attention to detail

Education

Bachelor’s degree in Computer Science, Data Science or related field (or in progress)

Tools

Version control (e.g., Git)

Cloud platforms

Job description

Job Description - GenAI Developer (082572)

GenAI Developer - 082572

About the job you’re considering

Key Responsibilities

• Assist in training and fine-tuning generative models (e.g., GPT, Stable Diffusion, GANs).
• Support data preparation, cleaning, and annotation for model training.
• Run experiments and help evaluate model outputs for quality and relevance.
• Collaborate with team members to integrate AI models into applications or prototypes.
• Stay up to date with recent developments in generative AI and share insights with the team.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field (or in progress).
• Familiarity with Python and machine learning libraries such as PyTorch or TensorFlow.
• Basic understanding of neural networks and generative models.
• Interest in creative AI applications and a willingness to learn quickly.
• Strong problem‑solving skills and attention to detail.

Nice to Have

• Experience with prompt engineering or using APIs like OpenAI, Hugging Face, or Stability AI.
• Personal or academic projects involving generative AI.
• Familiarity with version control (e.g., Git) and cloud platforms.

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:

• Healthcare including dental, vision, mental health, and well‑being programs
• Financial well‑being programs 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 backup child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini

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. The Group reported 2024 global revenues of €22.1 billion.

Capgemini is an Equal Opportunity Employer encouraging inclusion 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.

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 Canada 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 Canada by Capgemini.