Job Type:Permanent Work Model:Hybrid Reference code:129154 Primary Location:Toronto, ON All Available Locations:Toronto, ON 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 :: What will your typical day look like? 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 data About the team Deloittes Artificial Intelligence practice is comprised of specialized experts with hands:one experience, and cutting:edge information assets that facilitate successful Artificial Intelligence (AI)transformations. We develop AI:enabled solutions to address all aspects of a client's transformative journey with disciplined focus on business outcomes. 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 Total Rewards The salary range for this position is 72,000 : ,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing peoples unique strengths and contributions and rewarding the value that they deliver. Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people:first organization. On top of our regular paid vacation days, some examples include: 4,000 per year for mental health support benefits, a 1,300 flexible benefit spending account, firm:wide closures known as Deloitte Days, dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure. Our promise to our people: Deloitte is where potential