Job Type: Permanent
Work Model: Hybrid
Reference code: 129154
Primary Location: Toronto, ON
All Available Locations: Toronto, ON

ENOUGH ABOUT US, LET’S TALK ABOUT YOU

Qualifications

• 3 years+ data engineering experience or equivalent
• 3 years+ machine learning engineering experience of equivalent
• 3 years+ software engineering or equivalent
• Knowledge of Langchain, LlamaIndex, or other GenAI frameworks
• Responsible for developing and supporting MLOps system
• Should understand MLOPs concepts such as continuous training, continuous monitoring, continuous improvements to machine learning and AI systems
• Should understand and/or be interested in large language models and generative AI

OUR PURPOSE

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.

By living our Purpose, we will make an impact that matters.

• Have many careers in one Firm.
• Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
• Learn from deep subject matter experts through mentoring and on the job coaching

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Responsibilities

• Work with the product team and developers to create solutions that meet technical and business requirements
• Leverage non-deterministic LLMs and deterministic software engineering concepts to build GenAI applications
• Create evaluation frameworks to determine model accuracy
• Regularly provide model accuracy reports
• Write clean maintainable code
• Debug, fix, and improve GenAI applications
• Ensure Personal Information and security policies are respected when working with training or test dat