Job Description

Line of Service Internal Firm Services

Industry/Sector Not Applicable

Specialism IFS - Information Technology (IT)

Management Level Manager

& Summary A career in Information Technology, within Internal Firm Services, will provide you with the opportunity to support our core business functions by deploying applications that enable our people to work more efficiently and deliver the highest levels of service to our clients. YouaEUR(TM)ll focus on managing the design and implementation of technology infrastructure within PwC, developing and enhancing both client and internal facing applications within PwC, and providing technology tools that help create a competitive advantage for the Firm to drive strategic business growth. Our Data Intelligence and Analysis - Practice Support team provides PwC a series of organisational technology capabilities that include business intelligence, data management, data warehouse, and data assurance. YouaEUR(TM)ll help with projects that involve information technology strategy and infrastructure, enterprise architecture, enterprise applications, large scale programme and portfolio management, information technology security, data analytics, computer forensics, and emerging technologies like cloud, mobility and social networking.

This team leverages data to rapidly discover, quantify, and deliver through intelligent analytics and scalable end-to-end business solutions. Working with all of the Lines of Service and functional groups including Finance, Sales & Marketing, and Human Capital, the group helps drive analytics adoption across the Firm, accelerates value delivery, develops in-house talent, and builds solutions and trust in data-driven decision making.

Purpose-led work youaEUR(TM)ll be part of

As a MLOps Engineer, youaEUR(TM)ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities include but are not limited to:

The MLOps Engineer will be responsible for the deployment of analytical and machine learning models into production using Azure Machine Learning and deployment of Azure ML pipelines across environments

Integrate MLOps within the end-to-end DevOps lifecycle

Integrate the machine learning model into the companyaEUR(TM)s existing data infrastructure

The MLOps Engineer will develop and deploy scalable tools and services to handle machine learning training and inference

Maintain the model and incorporate improvements from time to time without impacting system performance

Identify and evaluate new techniques to improve performance, maintainability, and reliability of the existing Azure machine learning solutions

Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.

Support model development, with an emphasis on auditability, versioning, and data security

The MLOps Engineer will facilitate the development and deployment of proof-of-concept machine learning systems

Communicate with a team of data scientists, data engineers and architects, and document the processes

Lead on requirement clarification, design and implementation for data analytics machine learning product/solution releases

May lead small team and take some project leadership role

Experiences and skills youaEUR(TM)ll use to solve

Experience building end-to-end systems as a MLOps Engineer, Platform Engineer, or DevOps Engineer

Demonstrated experience leading analytics development projects in Azure

Ability to build Azure ML pipelines, understand tools used by data scientists, and decompose business requirements and translate them into detailed design specifications and code

Knowledge of software development practices, concepts, and technology obtained through formal training and/or work experience

Good knowledge of Microsoft Azure ML, MLOps, Python, SQL, and ETL processes

Proficient in application design and data modeling

Good understanding of functional aspects and technical behaviour of the underlying operating system, development environment, and deployment practices

Ability to select, adapt and effectively use a variety of programming methods

Hands on experience writing data processing and data pipeline for model development including gathering and building datasets by joining and aggregating source datasets, cleaning messy data, and designing feedback loop on data need

Hands on experience with machine learning and statistical modeling techniques applying machine learning techniques such as neural networks, random forest, GBM and SVM, Probabilistic Graphical Models, Deep Learning architectures, using open-source languages like Python, PySpark, PyTorch

Ability to build frameworks and automation scripts to accelerate development of common coding patterns

Create and maintain appropriate artifacts / documentation

Hands on experience building data analytics machine learning solutions that are supportable, scalable and achieve our aspiration of common assets

Hands on experience supporting production issues, including independently completing root-cause analysis and diagnosis

A demonstrated commitment to valuing differences, developing and coaching diverse teams, and ensuring diverse perspectives are heard

Why youaEUR(TM)ll love PwC

WeaEUR(TM)re inspiring and empowering our people to change the world. Powered by the latest technology, youaEUR(TM)ll be a part of amazing teams helping public and private clients build trust and deliver sustained outcomes. This purpose-led work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about us at .

Your Application to PwC

We embrace new technology to deliver securely and differently for our candidates. To protect your personal information, apply at and visit to learn more about what your recruitment experience could look like.

Putting the safety of our people and clients first as we look to a hybrid future

At this time, PwC does not require, but strongly encourages, full vaccination in order to access its offices. Some of our clients may require vaccination and other restrictions to be in place to access their premises. You may, therefore, be required to be vaccinated and comply with all other restrictions where applicable. At PwC, the future ways of work will be a hybrid of in-person and virtual, allowing choice and flexibility to explore new ways of working and collaborating, based on client, team and individual needs.

Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements Not Specified

Available for Work Visa Sponsorship? No

Government Clearance Required? No

Job Posting End Date

At PwC Canada, our most valuable asset is our people and we grow stronger as we learn from one another. WeaEUR(TM)re committed to creating an equitable and inclusive community of solvers where everyone feels that they truly belong. We understand that experience comes in many forms and building trust in society and solving important problems is only possible if we reflect the mosaic of the society we live in.

WeaEUR(TM)re committed to providing accommodations throughout the application, interview, and employment process. If you require an accommodation to be at your best, please let us know during the application process.

To learn more about inclusion and diversity at PwC Canada: https://www.pwc.com/ca/en/about-us/diversity-inclusion.html. Be a part of The New Equation.

Chez PwC Canada, notre atout le plus precieux, caEUR(TM)est notre personnel. Et caEUR(TM)est en apprenant les uns des autres que nous devenons plus forts. Nous avons a cA"ur de creer une communaute equitable et inclusive de professionnels de la resolution de problemes, dans laquelle chacun se sent vraiment a sa place. Nous savons que laEUR(TM)experience peut prendre diverses formes et, pour nous, donner confiance au public et resoudre des problemes importants naEUR(TM)est possible que si notre milieu de travail reflete la diversite de la societe dans laquelle nous vivons.

Nous tenons a repondre a vos besoins tout au long du processus de demande daEUR(TM)emploi, daEUR(TM)entrevue et daEUR(TM)embauche. Si vous avez besoin de mesures daEUR(TM)adaptation pour atre parfaitement a laEUR(TM)aise, faites-le-nous savoir a laEUR(TM)etape de la demande daEUR(TM)emploi.

Pour en savoir plus sur laEUR(TM)inclusion et la diversite chez PwC Canada: https://www.pwc.com/ca/fr/about-us/diversity-inclusion.html. Faites partie de La Nouvelle equation.