Job Description
Overview
Choosing Capgemini means joining a company where you can shape your career, supported by a collaborative global community. You will help leading organizations unlock technology's value to create a sustainable and inclusive world.
Key Responsibilities
- AI Asset Translation: Understand and translate AI models and assets for specific business use cases.
- Model Fitting: Fine-tune AI models for various document classes and data types.
- Model Experimentation: Conduct experiments, evaluate model performance, and adjust parameters for optimal results.
- Prompt Engineering: Design, test, and refine prompts to enhance large language models (LLMs) and generative AI systems.
Qualifications
- Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related fields.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
- Familiarity with NLP techniques and large language models.
- Strong analytical and problem-solving skills.
- Experience in prompt engineering and model fine-tuning is a plus.
Additional Information
- Capgemini is an Equal Opportunity Employer.
- Reasonable accommodations are available during recruitment.
- The company may capture images during interviews for verification.
- Applicants in Canada require valid work authorization.
Skills and Competencies
- Verbal Communication
About Capgemini
- A global technology and business transformation partner.
- 340,000 team members across more than 50 countries.
- Expertise in AI, generative AI, cloud, and data.