IN_Manager _AI Architect_GCC_ Advisory_ Hyderabad
PwC India (company site, opens in a new tab)7–11 yrsHyderabadOn-siteDirect career pageEst. 25–45 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and manage RAG/LLM pipelines including experiment, model, and feature management with model retraining.
- Develop scalable APIs for model inferencing and optimize model fine-tuning to improve latency, accuracy, and reduce resource usage.
- Apply expertise in GPU architecture, distributed training, Kubernetes, Docker, and LLM orchestration frameworks for large language model deployment.
Minimum Requirements
- 7-11 years of relevant work experience in AI/ML engineering or related field.
- Proficiency in Gen AI, LLM, Hugging Face Python, PyTorch/TensorFlow/Keras, Langchain, Langgraph, Docker, Kubernetes.
- Educational qualification: B.Tech / M.Tech / MBA / MCA or equivalent in Engineering or Business Administration.
- Experience with MLflow, SageMaker, Vertex AI, Azure AI and understanding of cloud platforms AWS, Azure, or GCP.
Ideal Candidate Profile
- Strong hands-on experience designing and optimizing LLM and AI pipelines in production environments with emphasis on scalability and efficiency.
- Familiarity with multi-cloud platforms, container orchestration, and DevOps tooling to enable robust AI infrastructure.
- Experienced in fine-tuning and deploying large AI models, focusing on performance improvement and resource optimization.