Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

. 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.

Job Description & Summary

A career within Data & Analytics Services will provide you with the prospect to help our clients leverage transformation to enhance their customer experiences.

Responsibilities:

Position Overview: ML Ops Lead
- Lead the full ML system lifecycle: from experimentation and model development to production deployment and ongoing monitoring.
- Design and build scalable, cloud-native MLOps pipelines for training, validation, deployment, and lifecycle management.
- Develop and manage ML infrastructure on Azure, with emphasis on Azure Kubernetes Service (AKS).




- Implement best practices for model versioning, CI/CD, observability, and reproducibility in ML workflows.
- Productionize ML models as robust, low-latency APIs and batch systems integrated into healthcare workflows.
- Collaborate cross-functionally with data scientists, engineers, and stakeholders to deliver scalable ML systems.
- Monitor model performance, detect drift, and ensure continuous model improvement in production.
- Mentor teams on MLOps practices, cloud engineering, and designing production-grade ML systems.
- Stay up-to-date with evolving trends in MLOps, distributed systems, and the Azure AI ecosystem.

Who We Are Looking For:
- 8+ years of experience in Machine Learning Engineering, MLOps, Data Science, or related quantitative fields.
- Strong background in machine learning complemented by software engineering skills and systems thinking for production deployments.
- Proven experience with large-scale, high-dimensional d

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🏢 PwC Service Delivery Center
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