In_associate 2_generative Ai Engineer_oc - D&a_advisory_bhubaneswar

Dc404

Bhubaneswar, ,
Not specified (potentially hybrid or onsite based on company culture)
Generative ai with llms and transformers
Python programming with pytorch
Hugging face transformers expertise
PwC is seeking a Generative AI Engineer to design, develop, and deploy AI solutions using advanced technologies such as large language models and cloud platforms. The ideal candidate should possess strong technical skills in Python, PyTorch, and cloud services, along with a collaborative mindset aligned with PwC's values of inclusivity and innovation

Job Summary

  • At PwC, our data and analytics engineering team leverages advanced technologies to transform raw data into actionable insights that drive business growth.
  • The role involves designing and deploying generative AI solutions using state-of-the-art large language models and integrating these capabilities into enterprise applications.
  • PwC fosters an inclusive and values-driven environment that supports wellbeing, mentorship, and innovation to help employees thrive both professionally and personally.

Matching Summary

Match Score: 85

PwC is seeking a Generative AI Engineer to design, develop, and deploy AI solutions using advanced technologies such as large language models and cloud platforms. The ideal candidate should possess strong technical skills in Python, PyTorch, and cloud services, along with a collaborative mindset aligned with PwC's values of inclusivity and innovation.

Skills & Requirements

Must-have

  • Generative AI with LLMs and Transformers
  • Python programming with PyTorch
  • Hugging Face Transformers expertise
  • Cloud platforms Azure AWS GCP
  • Orchestration frameworks like LangChain
  • REST API development with FastAPI or Flask
  • ML pipeline tools such as MLflow and Weights & Biases
  • CI/CD practices for ML deployment

Nice-to-have

  • Retrieval-Augmented Generation (RAG)
  • Vector databases like FAISS or Pinecone
  • Prototyping with Streamlit or Gradio
  • Containerization with Docker and Kubernetes
  • NLP libraries spaCy and NLTK
  • Data preprocessing and feature engineering
  • Agentic AI implementation using Crew.ai or LangChain

Key Requirements

  • 3 to 5 years of experience
  • Bachelor or Master of Engineering degree
  • Proficiency in deploying AI solutions on Azure, AWS, or GCP
  • Experience with CI/CD for ML platforms like Azure ML or SageMaker Pipelines

Work Rights

Not specified

Tailored Resume

Cover Letter