Search all career opportunities

MLOps Engineer, Omnia AI

Apply now

Apply for Job

Date Posted: Jan 15, 2022

Reference Code: 88481-en_US

Job Type: Permanent 
Primary Location: Toronto, Ontario, Canada 
All Available Locations: Toronto; Ottawa; Vancouver 

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 AI 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 Omnia, 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 the Canadian businesses as part of their overall Data and AI/ML transformations journey. Omnia 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 AI. We strive for empowering our clients’ organization to become data and insight driven organizations with AI/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 AI/ML driven solutions solving business problems and creating business opportunities 
•          Deploy AI/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 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

Why Deloitte?

Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

  • You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
  • You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
  • You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.

The next step is yours

Sound like The One Firm. For You?

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 that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.


Deloitte Canada has 52 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

Apply now

Apply for Job