MLOps Platform Developer

Meaningful work you'll be part of

As an MLOps Platform Developer with Generative AI specialization, you'll work as part of a team of problem solvers, helping to solve complex business issues, deliver high quality client service and operational efficiency. Responsibilities include but are not limited to:

• Design, develop, and troubleshoot MLOps and GenAI infrastructure to support the deployment, monitoring, and management of machine learning, statistical models, and generative AI applications.

• Implement and manage Vertex AI, Gemini Enterprise, Agent Engine (ADK - Agent Development Kit), and Kubeflow pipelines to automate model training, validation, and deployment processes for both traditional ML and generative AI workloads.

• Build and deploy AI agents using Google's Agent Engine and ADK framework, enabling autonomous task completion and intelligent automation for enterprise clients.

• Integrate Gemini Enterprise models into client workflows, including prompt engineering, fine-tuning, grounding, and implementing responsible AI practices.

• Collaborate with data scientists, software engineers, and DevOps teams to integrate machine learning and generative AI workflows into the broader technology ecosystem.

• Optimize and troubleshoot machine learning and GenAI pipelines to ensure high performance, cost-efficiency, and reliability in production environments.

• Develop and maintain documentation for MLOps processes, GenAI best practices, tools, and implementation guidelines.

• Provide recommendations and implement solutions for model monitoring and alerting (training-serving skew, drift detections, hallucination detection, prompt injection vulnerabilities, performance issues, etc.).

• Implement safety guardrails and content filtering for generative AI applications to ensure responsible AI deployment.

• Stay up-to-date with the latest industry trends and technologies in MLOps, generative AI, and machine learning, especially as it pertains to Vertex AI, Gemini, and Google's Agent ecosystem.

Experiences and skills you'll use to solve

Required

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• Proven experience as an MLOps Engineer or ML Platform Developer.

• Strong proficiency with Vertex AI, Gemini Enterprise, Agent Engine (ADK), and Kubeflow pipelines.

• Hands-on experience with generative AI technologies, including large language models (LLMs), prompt engineering, and RAG (Retrieval-Augmented Generation) patterns.

• Solid understanding of machine learning lifecycle and generative AI deployment 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.

Preferred

• Experience with containerization technologies such as Docker and Kubernetes.

• Experience with other MLOps tools and frameworks (e.g., MLflow, TFX).

• Knowledge of multimodal AI applications (text, image, video generation).

• Experience implementing AI agents for autonomous task completion.

• Knowledge of data engineering and data pipeline tools (e.g., Apache Beam, Airflow).

• Understanding of data governance, AI ethics, and compliance standards.

• Experience with monitoring and logging tools (e.g., Prometheus, Grafana).

• Familiarity with responsible AI practices, including bias detection, fairness metrics, and model explainability.

• Experience with vector databases (e.g., Vertex AI Vector Search, Pinecone) for semantic search applications.

• PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer.

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

The salary range for this position is $112,400 - $162,400.  The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and 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 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 about our Application Process and Total Rewards Package at:

PwC 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.