IN_Sr Associate__Generative AI Engineer_Advisory_Bangalore (Bengaluru)

IN_Sr Associate__Generative AI Engineer_Advisory_Bangalore (Bengaluru)

27 Aug
|
PwC Service Delivery Center
|
Bengaluru

27 Aug

PwC Service Delivery Center

Bengaluru

Job Summary

We are seeking a highly skilled and innovative GenAI Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying scalable Generative AI solutions using state-of-the-art large language models (LLMs) and transformer architectures. This includes building intelligent applications, orchestrating model workflows, and integrating GenAI capabilities into enterprise systems.
Responsibilities
- Design, build, and deploy generative AI solutions using LLMs such as OpenAI, Anthropic, Mistral, or open-source models (e.g., LLaMA, Falcon).
- Fine-tune and customize foundation models using domain-specific datasets and techniques
- Develop and optimize prompt engineering strategies to drive accurate and context-aware model responses.
- Implement model pipelines using Python and ML frameworks such as PyTorch, Hugging Face Transformers, or LangChain.
- Agentic AI implementation expertise using C rew.ai or Lang chain
- Collaborate with data engineers and MLOps teams to productionize GenAI models on cloud platforms (Azure/AWS/GCP).




- Knowledge on Azure/GCP/AWS AI platform like Azure AI Foundry or GCP Vertex
- Ensure robustness, scalability, and compliance of AI models in deployment environments.
- Valuable to have experience in finetuning models
- Good to have experience in SLM
- Integrate GenAI into enterprise applications via APIs or custom interfaces.
- Evaluate model performance using quantitative and qualitative metrics, and improve outputs through iterative experimentation.
Requirements
- Deep expertise in Python, PyTorch, and Hugging Face Transformers, with hands-on experience deploying solutions on Azure, AWS, or GCP
- Proficiency in using orchestration frameworks like LangChain
- Developing APIs with FastAPI or Flask
- Managing ML pipelines using MLflow or Weights & Biases
- Familiarity with CI/CD practices for ML, including platforms like Azure ML or SageMaker Pipelines
- Knowledge on Azure/GCP/AWS AI platforms li

📌 IN_Sr Associate__Generative AI Engineer_Advisory_Bangalore (Bengaluru)
🏢 PwC Service Delivery Center
📍 Bengaluru

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