In-sr Associate_ai & Ml _data & Analytics _advisory _gurgaon

Pwpoland

Gurgaon, India
Generative ai models (llms, gans, vaes)
Azure ai foundry
Mlops
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).
  • Act as a liaison between data scientists, cloud engineers, data engineers, and the business team to diagnose and resolve issues related to model performance and deployment.
  • Coordinate and mentor the Machine Learning Engineering team, promoting best practices and code quality.

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
  • Python, Git, CI/CD
  • Scikit-learn, XGBoost, pandas, NumPy
  • Snowflake AI/ML offerings

Nice-to-have

  • Respond effectively to diverse perspectives
  • Use broad range of tools
  • Critical thinking to break down concepts
  • Develop deeper business context understanding
  • Self-awareness and reflection

Key Requirements

  • 4 – 7 years of experience
  • Btech /MBA/MCA
  • Bachelor of Engineering
  • Master of Business Administration

Work Rights

Not specified

Tailored Resume

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