Machine Learning (ML) Engineer
Apply NowCompany: Deloitte
Location: Toronto, ON M4E 3Y1
Description:
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.
--
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, Deloitte's 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 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. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's 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 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.
You shape how we make impact.
Diverse perspectives and life experiences make us better. Whoever you are and wherever you're from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.
Be the leader you want to be
Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.
Have as many careers as you want.
We are uniquely able to offer you new challenges and roles - and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.
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. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.
We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Mtis).
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 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Mtis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.
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, Deloitte's 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 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. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's 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 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.
You shape how we make impact.
Diverse perspectives and life experiences make us better. Whoever you are and wherever you're from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.
Be the leader you want to be
Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.
Have as many careers as you want.
We are uniquely able to offer you new challenges and roles - and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.
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. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.
We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Mtis).
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 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Mtis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.