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Responsibilities:
- Design, build, and optimize LLMs, GenAI models, and deep learning architectures for various business use cases.
- Stay updated with the latest research trends in AI and machine learning, especially in the fields of deep learning, generative models, and language processing.
- Identify opportunities to integrate cutting-edge techniques into PwC’s projects.
- Perform data extraction, cleaning, and preprocessing to ensure high-quality input data for modeling.
- Conduct rigorous testing, evaluation, and validation of models to ensure high performance and accuracy.
- Lead the deployment of models into production systems.
- Work closely with cross-functional teams, including business analysts, data engineers, and stakeholders, to translate business requirements into technical solutions.
- Maintain thorough documentation for all models, algorithms, processes, and tools developed to ensure reproducibility and knowledge transfer.
Qualifications:
Education Criteria: B.E. / B.Tech / MCA/ M.E/ M.TECH/ MBA/ PGDM. All qualifications should be in regular full-time mode with no extension of course duration due to backlogs
Required Skills:
Experience: 2-6 years of practical experience in building AI and deep learning models, with a focus on LLMs and GenAI.
Equal Opportunity Statement:
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About the Role:
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