Job Description

The Generative AI Engineer is a hybrid opportunity with 2 days in the office in Calgary or Toronto. No relocation and no 100% remote is considered. Thanks for your interest

Job Description:

As a Generative AI Developer at Capgemini, you'll leverage your expertise in large language models, agentic AI solutions, natural language processing algorithms, and software architecture to Design and implement advanced generative AI solutions. You'll collaborate with clients and internal teams to understand business requirements, lead solution design, and ensure compliance with governance frameworks.

Key Responsibilities:

Design and develop Generative AI and Agentic AI based solutions according to client needs considering factors such as data integration, scalability, and security.

Serve as the subject matter expert on AI technologies, hands-on development of GenAI solutions.

Evaluate and select appropriate generative AI components and algorithms based on project objectives.

Extensive knowledge and confidence in concepts of Deep Learning, Natural Language Processing and model building.

Define governance frameworks for the ethical use of generative AI technologies and ensure compliance with regulatory requirements.

Required skills :

3+ years of professional work experience in designing, developing and implementing large language model (Open AI GPT's/other popular LLM's) implementations using Azure OpenAI service/Databricks.

Hands-on experience with Azure Machine Learning Studio, Notebooks, CLI, Experiment Management, Model Registry,

Deployment options, and Monitoring.

Proficient in MLOps and LLMOps, specializing in Computer vision and Natural language tasks like instance

segmentation, object detection, image classification, text classification, QA, translation and text generation.

Design, develop, and implement machine learning models, focusing on generative AI and NLP based on customer

requirements.

Data integration using Azure Data Factory and Data Lake Storage for AI and machine learning workloads.

Security and access control with Azure Active Directory and Azure RBAC within the Azure Machine Learning

workspace.

Strong proficiency in machine learning frameworks such as TensorFlow, PyTorch.

Familiarity with software architecture principles, cloud computing platforms, and containerization technologies.

Excellent problem-solving skills, analytical thinking, and communication skills.

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:

• Collaborating with teams of creative, fun, and driven colleagues
• Flexible work options enabling time and location-based flexibility
• Company-provided home office equipment
• Virtual collaboration and productivity tools to enable hybrid teams
• Comprehensive benefits program (Health, Welfare, Retirement and Paid time off)
• Other perks and wellness benefits like discount programs, and gym/studio access.
• Paid Parental Leave and coaching, baby welcome gift, and family care/illness days
• Back-up childcare/elder care, childcare discounts, and subsidized virtual tutoring
• Tuition assistance and weekly hot skill development opportunities
• Experiential, high-impact learning series events
• Access to mental health resources and mindfulness programs
• Access to join Capgemini Employee Resource Groups around communities of interest

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, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

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