Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Technology StrategyManagement Level
ManagerJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.Meaningful work youll be part of
As an MLOps Platform Developer youll work as part of a team of problem solvers helping to solve business issues deliver high quality client service and operational efficiency. Responsibilities include but are not limited to:
Design develop and troubleshoot MLOps infrastructure to support the deployment monitoring and management of machine learning and statistical models.
Implement and manage Vertex AI and Kubeflow pipelines to automate model training validation and deployment processes.
Collaborate with data scientists software engineers and DevOps teams to integrate machine learning workflows into the broader technology ecosystem.
Optimize and troubleshoot machine learning pipelines to ensure high performance and reliability in production environments.
Develop and maintain documentation for MLOps processes tools and best practices.
Provide recommendations and implement solutions for model monitoring and alerting (training-serving skew drift detections performance issues etc.).
Stay up-to-date with the latest industry trends and technologies in MLOps and machine learning especially as it pertains to Vertex AI.
Experiences and skills youll use to solve
Bachelors or Masters degree in Computer Science Engineering or a related field.
Proven experience as an MLOps Engineer or ML Platform Developer.
Strong proficiency with Vertex AI and Kubeflow pipelines.
Solid understanding of machine learning lifecycle and best practices.
Experience with Google Cloud Platform (GCP).
Proficiency in Python.
Familiarity with CI/CD tools and practices.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Experience with containerization technologies such as Docker and Kubernetes.
Experience with other MLOps tools and frameworks (e.g. MLflow TFX).
Knowledge of data engineering and data pipeline tools (e.g. Apache Beam Airflow).
Understanding of data governance and compliance standards.
Experience with monitoring and logging tools (e.g. Prometheus Grafana).
PwC Canada is committed to cultivating an inclusive hybrid work environment. Exact expectations for your team can be discussed with your interviewer
Why youll love PwC
Wereyoull be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful 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 our Application Process and Total Rewards Package at: Canada acknowledges that we work and live across Turtle Island on the land that is now known as Canada which are the lands of the ancestral treaty and unceded territories of the First Nations Métis and Inuit Peoples. We recognize the systemic racism colonialism and oppression that Indigenous Peoples have experienced and still go through and we commit to allyship and solidarity.
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
Accepting Feedback Accepting Feedback Active Listening Analytical Thinking Artificial Intelligence (AI) Platform Automation Cloud Infrastructure Coaching and Feedback Communication Continuous Integration/Continuous Delivery (CI/CD) Creativity Data Model Testing Data Pipeline Design of Experiments DevOps Practices Dialectology Embracing Change Emotional Regulation Empathy Factor Analysis Git Version Control System Image Recognition Algorithms Inclusion Infrastructure Architecture Intellectual Curiosity 23 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
At PwC Canada our most valuable asset is our people and we grow stronger as we learn from one another. Were 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.Were 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: Be a part of The New Equation.Chez PwC Canada notre atout le plus précieux cest notre personnel. Et cest en apprenant les uns des autres que nous devenons plus forts. Nous avons à cœur de créer une communauté équitable et inclusive de professionnels de la résolution de problèmes dans laquelle chacun se sent vraiment à sa place. Nous savons que lexpérience peut prendre diverses formes et pour nous donner confiance au public et résoudre des problèmes importants nest possible que si notre milieu de travail reflète la diversité de la société dans laquelle nous vivons.Nous tenons à répondre à vos besoins tout au long du processus de demande demploi dentrevue et dembauche. Si vous avez besoin de mesures dadaptation pour être parfaitement à laise faites-le-nous savoir à létape de la demande demploi.Pour en savoir plus sur linclusion et la diversité chez PwC Canada: Faites partie de La Nouvelle équation.
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