Machine Learning Operations (ML Ops) Engineer, Omnia AI

Deloitte (Toronto ON, Canada) 2 days ago

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

Be encouraged to deepen your technical skills…whatever those may be

Learn from deep subject matter experts through mentoring and on the job coaching

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 practice is comprised of specialized experts with hands-on 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

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, DKube).
  • 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!  We encourage you to connect with us at accessiblecareers@deloitte.ca 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.

Machine Learning Operations (ML Ops) Engineer, Omnia AI

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