IN_Senior Associate_Gen AI_Emerging Businesses_Advisory_Bangalore
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Key skills for this role
Role Overview
PwC is seeking a Senior Associate GenAI Engineer for its Emerging Technologies advisory practice.
The role focuses on designing, developing, and deploying scalable generative AI solutions using LLMs and transformer architectures.
Key Skills for This Role
Full Job Posting
Role Overview
PwC is seeking a Senior Associate GenAI Engineer for its Emerging Technologies advisory practice.
The role focuses on designing, developing, and deploying scalable generative AI solutions using LLMs and transformer architectures.
Responsibilities
- Design, build, and deploy generative AI solutions using OpenAI, Anthropic, Mistral, LLaMA, Falcon, or other models.
- Fine-tune foundation models with domain-specific datasets and techniques.
- Develop prompt engineering strategies for accurate and context-aware model responses.
- Build model pipelines with Python, PyTorch, Hugging Face Transformers, or LangChain.
- Implement agentic AI solutions using CrewAI, LangChain, or related frameworks.
- Productionize GenAI models with data engineering and MLOps teams on cloud platforms.
- Use Azure AI Foundry, Google Cloud Vertex AI, or similar cloud AI platforms.
- Ensure deployed models are robust, scalable, and compliant.
- Integrate GenAI into enterprise applications through APIs or custom interfaces.
- Evaluate model performance and improve outputs through iterative experimentation.
- Track current research in GenAI, foundation models, and open-source tools.
Mandatory Skills
- Generative AI, LLMs, and transformer architectures are required.
- Python, PyTorch, and Hugging Face Transformers are required.
- Azure, AWS, or GCP cloud experience is required.
- LangChain, LangGraph, or similar orchestration framework experience is required.
- REST API development with FastAPI, Flask, or similar tools is required.
- ML pipeline experience with MLflow or Weights & Biases is required.
- Git and CI/CD for ML, including Azure ML or SageMaker Pipelines, are required.
Preferred Skills
- RAG and vector databases such as FAISS, Pinecone, or Weaviate are preferred.
- Streamlit or Gradio, Docker or Kubernetes, and data preprocessing or feature engineering are preferred.
- Experience with spaCy, NLTK, or related NLP libraries is preferred.
- Fine-tuning models and working with small language models are advantageous.
Experience and Education
- Four to seven years of experience is required.
- The posting lists B.E., B.Tech, M.Tech, or MCA as education qualifications and separately identifies Bachelor of Technology as required.
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