In_associate_machine Learning Engineer - Generative Ai _d&a _advisory _kolkata

PwC PricewaterhouseCoopers GmbH

Kolkata, India
Generative ai models (llms, gans, vaes)
Azure ai foundry
Mlops pipelines
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).
  • 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.
  • We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life.

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
  • MLOps pipelines
  • Python, Git, CI/CD
  • Linux, Docker, Airflow
  • SQL (Oracle, MySQL)
  • ETL design and execution

Nice-to-have

  • Effective communication with stakeholders
  • Data modeling and warehousing concepts
  • Willingness to teach and learn
  • Front-end and back-end development

Key Requirements

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

Work Rights

Not specified

Tailored Resume

Cover Letter