MLOps Engineer, Agentic Workflows

Toronto - Canada

Monthly Salary: CAD 82300 - 137000

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Senior Associate

Job Description & Summary

At PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation visualisation and statistical modelling to support clients in solving complex business problems.

Meaningful work youll be part of
As anMLOpsEngineer Agentic Workflowsyoullwork as part of a team of problem solvers helping to solve business issues deliver high quality client service and operational efficiency.We need anMLOpsEngineer to design andmaintainpipelines for agentic AI workflows ensuring robust model deployment monitoring and retraining capabilities.Responsibilities include but are not limited to:

Build and manageML pipelines in Databricksfor model deployment and monitoring.
Implement automated retraining workflows based on performance metrics.
Integrate pipelines with agentic AI applications for seamless updates.
Ensure compliance with data governance and security standards.
Collaborate with data scientists and AI engineers to operationalize models.

Experiences and skillsyoulluse to solve

Strong experience withDatabricksMLflow andCI/CD for ML.
Knowledge ofagentic AI workflowsand orchestration.
ProficiencyinPythonSQL and distributed data processing.
Familiarity withcloud platforms(AWS or Azure) and containerization.
Understanding ofGitHub Actionsand DevOps principles for ML pipelines.
Experience withHugging FaceBERT and transformer-based models.
Preferred Certifications:Databricks Certified Data Engineer or ML Professional.
PwC Canadaiscommitted to cultivating an inclusive hybrid work environment. Exact expectations for your team can be discussed with your interviewer.

Thisnewly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

The salary range for this position is $84700 - $134700.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.

Whyyoulllove PwC

Wereyoullbe a part ofdiverseteams 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 more aboutourApplication Process andTotal 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 NationsMétisand Inuit Peoples. We recognize the systemic racismcolonialismand 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 Algorithm Development Alteryx (Automation Platform) Analytical Thinking Analytic Research Big Data Business Data Analytics Communication Complex Data Analysis Conducting Research Creativity Customer Analysis Customer Needs Analysis Dashboard Creation Data Analysis Data Analysis Software Data Collection Data-Driven Insights Data Integration Data Integrity Data Mining Data Modeling Data Pipeline 39 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:

Unclear Seniority

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismAnalyticsManagement LevelSenior AssociateJob Description & SummaryAt PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help ...