The role focuses on building and deploying machine learning models for classification, regression, NLP, and computer vision use cases to drive business innovation
Job Summary
The role focuses on building and deploying machine learning models for classification, regression, NLP, and computer vision use cases to drive business innovation.
Candidates will collaborate with data engineers to develop robust data pipelines and integrate AI solutions into production systems using cloud platforms.
PwC offers a vibrant community focused on trust, distinctive outcomes, and inclusive benefits that support personal growth and wellbeing.
Matching Summary
The role focuses on building and deploying machine learning models for classification, regression, NLP, and computer vision use cases to drive business innovation.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
3+ years AI/ML engineering experience
Python, PyTorch/TensorFlow proficiency
Cloud-native AI services (Azure/AWS/GCP)
Vector databases and RAG pipelines
MLOps and containerization deployment
Nice-to-have
Enterprise-grade AI use case exposure
Knowledge of Responsible AI frameworks
Agentic AI and multi-agent systems
Strong stakeholder management skills
Experience in BFSI or healthcare sectors
Key Requirements
Bachelor's or Master's degree in Engineering or related field