MLOps Platform Developer

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: 16 hours ago

Vacancies: 1 Vacancy

Job Summary

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Technology Strategy

Management Level

Manager

Job 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.

We are seeking a highly skilled MLOps Platform Developer with extensive experience working with Vertex AI and Kubeflow pipelines. The ideal candidate will be responsible for designing developing and providing guidance on MLOps platforms for our clients ensuring seamless integration and efficient operation of their machine learning models across their environments and teams.

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

Thisposition ensures continuity and upholds our standards of excellence following the departure of a valued team member.

The salary range for this position is $112400 - $162400.The posted salary rangerepresentsthe expected hiring range for PwC locations in major citycentres. Given our national recruiting approach ranges may vary for positions in other locations. At PwC Canada base salary isdeterminedby your skills experiencequalificationsand work location.In addition to base salary eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process our Talent Acquisition team will provide details about our comprehensive total rewards package.

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 more

Desired Languages (If blank desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date

Were committed to providing accommodation throughout the application interview and employment process. If you require accommodation to be at your best please let us know during the application process.

The use of artificial intelligence (AI) in recruiting is just getting started so we know you have questions about how and why we use it. At certain points during our recruiting process we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly without seeing identity information such as your name or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills experience and likely success at PwC Canada. While AI supports parts of our recruitment process final hiring decisions always involve human review. For more information about our use and protection of your data please refer to our Privacy Policy ( 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.

Lutilisation de lintelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement nous comptons sur lIA pour améliorer votre expérience. Par exemple pendant lexamen du curriculum vitæ ou lélaboration dune liste de recommandations personnalisées un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour lentrevue. LIA nous aide à mieux lutter contre les préjugés car lévaluation des candidats se fait de façon juste et équitable sans que les informations didentification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et dévaluer le lien entre leurs compétences leur expérience et leurs chances de réussir chez PwC Canada. Bien que lIA facilite certaines étapes de notre processus de recrutement les décisions finales dembauche sont toujours prises par des personnes. Pour en savoir plus sur lutilisation et la protection de vos données personnelles consultez notre politique sur la protection des renseignements confidentiels ( Experience:

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismTechnology StrategyManagement LevelManagerJob Description & SummaryAt 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 ...