IN_Senior Associate_AI Engineer_GCC_Advisory_Bangalore
PwC India (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize scalable data solutions and ML pipelines on cloud platforms (Azure/AWS/GCP), including experiment, model, and feature management.
- Manage deployment and orchestration of large language models (LLMs) using GPU architectures and frameworks such as MLflow, SageMaker, DeepSpeed, vLLM, and Kubernetes.
- Improve model fine-tuning and optimization for latency and accuracy, and implement DevOps and LLMOps practices including container orchestration and cloud-native tool integration.
Minimum Requirements
- 5-8 years of experience in AI engineering or cloud data engineering roles.
- Strong expertise in cloud platforms (Azure/AWS/GCP) and data engineering with proficiency in Python and Advanced SQL.
- Mandatory skills include Generative AI, LLMs, Hugging Face, Python, PyTorch/TensorFlow/Keras, Langchain, Langgraph, Docker, Kubernetes.
- Education: Bachelor or Master of Engineering (B.Tech/M.Tech) or MCA/MCA/BCA in related field.
Ideal Candidate Profile
- Experienced in designing and deploying end-to-end ML pipelines and large scale LLM serving architectures on cloud environments.
- Expert in model fine-tuning, GPU-based distributed training, and implementing efficient inference APIs for scalable AI applications.
- Practiced in DevOps/LLMOps with container orchestration tools and cloud services, able to integrate ML workflows with CI/CD methodologies.