In_associate_machine Learning Engineer - Generative Ai _d&a _advisory _kolkata

Virtualspaces Pwc

Kolkata, India
Generative ai models (llms, gans, vaes)
Azure ai foundry
End-to-end ml lifecycle management
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 management
  • Python, Git, CI/CD
  • SQL, Oracle, MySQL
  • ETL design and execution
  • Linux, Docker, Apache Airflow

Nice-to-have

  • Effective communication with stakeholders
  • Data warehousing concepts
  • Visual analytics platforms
  • Willingness to teach and learn

Key Requirements

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

Work Rights

Not specified

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