IN-Manager _AI Architect __ GCC_ Advisory_ Noida
PwC India (company site, opens in a new tab)3+ yrsNoidaOn-siteDirect career pageEst. 18–35 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and manage machine learning pipelines including experiment, model, and feature management, as well as model retraining and inferencing APIs.
- Lead architecture and implementation of distributed training and serving for large language models leveraging GPU and frameworks such as DeepSpeed and vLLM.
- Optimize model fine-tuning for latency, accuracy, and reduced resource consumption while maintaining proficiency in DevOps and LLMOps using Kubernetes, Docker, and orchestration tools.
Minimum Requirements
- Minimum 3+ years of experience in AI, ML engineering or similar role.
- Mandatory skills: Generative AI, Large Language Models (LLM), Huggingface, Python, PyTorch/TensorFlow/Keras, Langchain, Langgraph, Docker, Kubernetes.
- Educational Qualification: BE/B.Tech/MBA/MCA with Master of Business Administration required.
- Work Experience Required: 3+ years (explicitly mentioned). Notice period: Not explicitly mentioned.
Ideal Candidate Profile
- Experienced in managing end-to-end ML lifecycle and scalable AI model deployment particularly focused on LLM and GPU architectures.
- Strong expertise in cloud AI platforms (AWS SageMaker, Azure AI, Vertex AI) and orchestration frameworks specific to LLMs (Flowise, Langflow, Langgraph).
- Comfortable working in a fast-paced advisory or consulting environment requiring technical leadership on AI/ML projects.