Job Type:Permanent Work Model:Hybrid Reference code:127082 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. : Learn from deep subject matter experts through mentoring and on the job coaching : Be encouraged to deepen your technical skills...whatever those may be. : Be empowered to lead and have impact with clients, our communities and in the office. :: Are you passionate about solving complex analytical problems, learning about the latest in cutting:edge Al and continuing to develop your analytical and business development skills? If you answered yes, then we have an opportunity waiting for you What will your typical day look like? As a Machine Learning Operations Engineer, you will take a hands:on role in delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders. You will work with the team to design, develop, deploy, and manage machine learning models at scale in production for our clients. You will play a role in pitches and proposal bids, and will assist in different areas of project of project management, including client projects and internal initiatives. About the team Deloitte AI and Data, Deloittes Artificial Intelligence (Al) practice is comprised of Al/ML experts with hands:on experience in developing and deploying Al/ML solutions to create competitive advantage for the Canadian businesses as part of their overall Data and Al/ML transformations journey. AI and Data Data Science team works together with Canadian businesses to envision and craft the solutions that drive automation, optimization, efficiency and many cases new opportunities with being mindful of driving responsible and transparent Al. We strive for empowering our clients organization to become data and insight driven organizations with Al/ML first mindset to produce tangible business outcomes. Data Science team will work with our clients to: - Assess, recommend and create business capability roadmaps where Data Science can provide a significant business value and impact - Harnessing data to craft best Al/ML driven solutions solving business problems and creating business opportunities - Deploy Al/ML solutions with the state:of:the:art MLOps practices - Leverage visual analytics to maximize business gain from data driven insights and findings Enough about us, let's talk about you You are someone with: - 3+ years relevant work experience with building and automating data analytics and Machine Learning (ML) pipelines - Good understanding of ML and Al concepts. Hands:on experience in ML model development. - Experience in operationalization of Machine Learning projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google Al Platform, Azure Machine Learning, DataRobot, MLFlow). - Strong experience in Python used both for ML and automation tasks. - Database and programming languages experience and data manipulation and int