IN_Senior Associate_Gen AI_Emerging Businesses_Advisory_Bangalore
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Key skills for this role
Role Overview
PwC's emerging technology team develops software solutions and applies artificial intelligence and other technologies to drive innovation and transformation for clients.
The role focuses on designing, developing, and deploying scalable Generative AI solutions using large language models and transformer architectures.
Key Skills for This Role
Full Job Posting
Role Overview
PwC's emerging technology team develops software solutions and applies artificial intelligence and other technologies to drive innovation and transformation for clients.
The role focuses on designing, developing, and deploying scalable Generative AI solutions using large language models and transformer architectures.
Responsibilities
- Design, build, and deploy generative AI solutions using large language models such as OpenAI, Anthropic, Mistral, LLaMA, or Falcon.
- Fine-tune and customize foundation models using domain-specific datasets and techniques.
- Develop and optimize prompt engineering strategies for accurate and context-aware responses.
- Implement model pipelines using Python, PyTorch, Hugging Face Transformers, and orchestration frameworks.
- Implement agentic AI solutions using CrewAI, LangChain, or similar technologies.
- Collaborate with data engineering and MLOps teams to productionize GenAI models on Azure, AWS, or GCP.
- Use cloud AI platforms such as Azure AI Foundry or GCP Vertex AI where appropriate.
- Ensure model robustness, scalability, and compliance in deployment environments.
- Integrate GenAI capabilities into enterprise applications through APIs or custom interfaces.
- Evaluate model performance using quantitative and qualitative metrics and iterative experimentation.
- Stay current with GenAI, foundation model, and open-source technology research.
Mandatory Skill Sets
- Generative AI, large language models, and transformer architectures.
- Python, PyTorch, and Hugging Face Transformers.
- Azure, AWS, or GCP cloud platforms.
- LangChain, LangGraph, or similar orchestration frameworks.
- REST APIs, FastAPI, and Flask.
- ML pipeline tools such as MLflow and Weights & Biases.
- Git and CI/CD practices for machine learning, including Azure ML or SageMaker Pipelines.
Preferred Skill Sets
- RAG and vector databases such as FAISS, Pinecone, or Weaviate.
- Streamlit or Gradio for prototyping.
- Docker and Kubernetes for model deployment.
- Data preprocessing and feature engineering.
- NLP libraries such as spaCy, NLTK, or Transformers.
Experience and Education
- Four to seven years of relevant experience is required.
- A Bachelor of Technology degree is required; the posting also lists B.E., B.Tech, M.Tech, or MCA as education qualifications.
PwC Culture
PwC describes a technology-enabled, purpose-led environment focused on innovation, collaboration, learning, wellbeing, and client and community outcomes.
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