In-sr Associate_ai & Ml _data & Analytics _advisory _gurgaon

PwC UK

Gurugram, India
Generative ai models (llms, gans, vaes)
Azure ai foundry for ai solutions
End-to-end ml pipelines (mlops)
Leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights

Job Summary

  • Leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights.
  • Develop and implement advanced AI and ML solutions, focusing on generative AI models like LLMs, GANs, and VAEs, and manage the end-to-end ML lifecycle on Azure.
  • Act as a liaison between technical teams and business stakeholders, lead continuous improvement of ML support processes, and mentor the Machine Learning Engineering team.

Matching Summary

Leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights.

Skills & Requirements

Must-have

  • Generative AI models (LLMs, GANs, VAEs)
  • Azure AI Foundry for AI solutions
  • End-to-end ML pipelines (MLOps)
  • Python, Git, CI/CD principles
  • Scikit-learn, XGBoost, pandas, NumPy

Nice-to-have

  • Independent and collaborative work
  • Willingness to teach and learn
  • Problem-solving and attention to detail
  • Develop self-awareness and strengths

Key Requirements

  • 4 – 7 years of experience
  • Btech /MBA/MCA education
  • Hands-on Azure ML lifecycle experience
  • Front-end and backend technologies experience

Work Rights

Not specified

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