Senior Associate - AI/ML Data Analytics Advisory
About the job
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. Responsibilities: · Lead the design, development, and deployment of production-level machine learning models, with a focus on generative AI models such as Large Language Models (LLMs), Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs). · Provide advanced technical support for existing AI models, including bug fixes, addressing complex issues, and facilitating model expansion for new business cases. · Act as a liaison between data scientists, cloud engineers, data engineers, and the business team to diagnose and resolve issues related to model performance and deployment. · Lead the continuous improvement of support processes and workflows for ML applications. · Develop, monitor, and maintain end-to-end machine learning pipelines (MLOps) including data preparation, feature engineering, model training, and deployment. · Utilize Azure AI Foundry to build, test, and deploy cutting-edge AI-driven solutions and generative AI applications. · Build model performance benchmarking, evaluation, and monitoring capabilities. · Assess model performance to understand bugs, inefficiencies, and their root cause. · Document and communicate best practices and troubleshooting procedures to support teams and stakeholders. · Coordinate and mentor the Machine Learning Engineering team, promoting best practices and code quality. · Stay current with the latest advancements in AI and machine learning technologies. Required Skills: Artificial Intelligence (AI)
Requirements
- Artificial Intelligence
- Machine Learning
- Data Analysis
- Data Engineering
- Cloud Technologies
Qualifications
- Bachelor of Engineering
- Master of Business Administration
Preferred Technologies
- Artificial Intelligence
- Machine Learning
- Data Analysis
- Data Engineering
- Cloud Technologies
About the company
PwC is focused on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Through innovation in artificial intelligence and machine learning, it aims to transform raw data into actionable insights, enabling informed decision-making and enhancing business processes.
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