ML Solutions Architect Manager

A career in our AI & Analytics Solution Services for Finance will allow you to develop and apply strategies that help clients leverage machine learning technologies to solve complex business issues from strategy to execution. The work revolves around creative problem solving and applying innovative ML solutions to enable strategies that increase the value of the applications that run our client's business, drive actionable insights, and enhance decision-making. As an ML Solutions Architect Manager, you'll lead presales engagements, collaborate with cross-functional teams to design and deploy scalable time-series forecasting models, and guide long-term data pipeline strategies for sustainable ML implementations.

Meaningful work you'll be part of
As an ML Solutions Architect Manager, you'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:

• Lead presales engagements and ongoing client interactions to define business needs and translate them into ML solutions.
• Collaborate with cross-functional teams, including data scientists and engineers, to design, deploy, and integrate scalable time-series forecasting models.
• Ensure ML solutions align with client business goals, driving actionable insights and enhanced decision-making.
• Facilitate the integration of client transactional data into ML models, ensuring seamless data flow and accuracy.
• Guide long-term data pipeline strategy to support sustainable and scalable ML implementations across client environments.

Experiences and skills you'll use to solve
• Experience in designing and architecting ML solutions for time-series forecasting, with a focus on scalability, efficiency, and effectiveness, leveraging AWS services such as Amazon Forecast, SageMaker, Lambda, and other relevant cloud platforms like Microsoft Azure and Google Cloud.
• Proven experience in developing complex statistical and mathematical models to analyze and predict temporal data patterns, ensuring high levels of accuracy and reliability.
• Strong collaboration skills with data engineers and scientists to preprocess, clean, and structure large datasets for time-series analysis.
• Expertise in facilitating the implementation of state-of-the-art ML pipelines, algorithms, and statistical methods for forecasting, optimizing for performance and computational efficiency.
• Working knowledge of enterprise architecture design, data structures (data warehousing, data lakes, data models) and the different components of an organizations technology landscape (tools and systems by functional areas).
• Demonstrated experience in presales activities and client engagement, with the ability to communicate effectively about ML model outputs and their business implications.
• Proficiency in programming languages such as Python, R, and Spark, and familiarity with ML libraries, frameworks, SQL, and experience with relational databases.
• Experience in orchestrating ML pipelines using ML Flow, KubeFlow , or similar ML Ops platforms.
• Ability to guide the integration of ML models into production environments, ensuring seamless deployment and scalability on the AWS cloud and extending capabilities into other cloud platforms.
• Commitment to staying abreast of the latest advancements in ML, time-series forecasting, and leading technologies, continuously improving our solutions and methodologies.

Why you'll love PwC
We're inspiring and empowering our people to change the world. Powered by the latest technology, you'll 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 a bout our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc
The most connected firm through activity based working
PwC Canada is committed to cultivating an inclusive, hybrid work environment - one that is collaborative, supportive and productive. We work in-person and virtually, as is best suited for our clients, teams and people . We want you to be intentional with your work, how you do it and where it's done. PwC offices are hubs of connectivity and learning. We strongly encourage our people to prioritise in-person work . We know that hybrid work is all about balance, and capturing the benefits of in-person work is essential to your growth at the firm. Exact expectations for your team can be discussed with your interviewer.

At PwC Canada, our most valuable asset is our people and we grow stronger as we learn from one another. We'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.
We'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.