In_associate_machine Learning Engineer - Generative Ai _d&a _advisory _kolkata

PwC

Kolkata, India
Generative ai models (llms, gans, vaes)
Azure ai foundry
End-to-end ml lifecycle
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)

Job Summary

  • 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).
  • Develop, monitor, and maintain end-to-end machine learning pipelines (MLOps) including data preparation, feature engineering, model training, and deployment.
  • At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities.

Matching Summary

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).

Skills & Requirements

Must-have

  • Generative AI models (LLMs, GANs, VAEs)
  • Azure AI Foundry
  • end-to-end ML lifecycle
  • Python, Git, CI/CD
  • SQL (Oracle, MySQL)
  • ETL design and testing

Nice-to-have

  • effective communication with stakeholders
  • data modeling and warehousing concepts
  • performance optimization and error handling
  • visual analytics platforms
  • Linux system infrastructure

Key Requirements

  • 3-6 years experience ML models
  • 2-3 years Generative AI models
  • 4-7 years total experience
  • Btech/MBA/MCA degree
  • Master of Business Administration
  • Bachelor of Technology

Work Rights

Not specified

Tailored Resume

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