In_associate_machine Learning Engineer - Generative Ai _d&a _advisory _kolkata

PwC UK

Kolkata, India
Generative ai models (llms, gans, vaes)
End-to-end machine learning pipelines (mlops)
Azure ai foundry
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)
  • End-to-end machine learning pipelines (MLOps)
  • Azure AI Foundry
  • Python, Git, CI/CD principles
  • Operational Data Stores, Data Marts, Data Warehouse
  • Complex SQL queries
  • Linux (Bash, Docker, CRON, Apache Airflow)

Nice-to-have

  • Effective communication with stakeholders
  • Data modeling and warehousing concepts
  • Willingness to teach and learn

Key Requirements

  • 3-6 years experience ML models in cloud
  • 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

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