Description
Machine Learning (ML) Engineer
Date: Apr 16, 2025
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.
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 management, including client projects and internal initiatives.
About the team
Deloitte AI and Data, Deloitte’s Artificial Intelligence (AI) practice is comprised of AI/ML experts with hands-on experience in developing and deploying AI/ML solutions to create competitive advantage for Canadian businesses. The AI and Data Science team works together with Canadian businesses to envision and craft solutions that drive automation, optimization, efficiency, and new opportunities while being mindful of driving responsible and transparent AI.
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 AI 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 AI 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 integration skills using SQL, Oracle, Hadoop, NoSQL Databases, or similar tools
- Experience with Kubernetes and the ecosystem of Cloud Native tools.
- Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective
- Strong oral and written communication skills
- Minimum Bachelor degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering or related field.
- Experience with Azure or AWS platforms is an asset
- Project management experience is an asset
- Professional services, consulting, or advisory experience is an asset
Total Rewards
The salary range for this position is $72,000 – $138,000, 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. 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.
Our promise to our people: Deloitte is where potential comes to life.
Be yourself, and more.
We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.
The next step is yours
At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada.
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