IN_Senior Associate_AI Engineer_GCC_Advisory_Chennai
PwC India (company site, opens in a new tab)5–8 yrsChennaiOn-siteDirect career pageEst. 20–35 LPA
Posted 12h 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, and implement scalable APIs for model inferencing.
- Develop and optimize large language model (LLM) training and serving using GPU architectures and frameworks such as DeepSpeed and vLLM to improve latency and accuracy.
- Implement DevOps and LLMOps practices including container orchestration with Kubernetes and Docker, and use LLM orchestration frameworks like Flowise, Langflow, and Langgraph.
Minimum Requirements
- 5-8 years of relevant experience in AI, machine learning, and LLM development.
- Bachelor of Technology degree mandatory (MCA, BCA, M.Tech also acceptable).
- Mandatory skills include Gen AI, LLM, Huggingface, Python, PyTorch/TensorFlow/Keras, Langchain, Langgraph, Docker, and Kubernetes.
- No mention of notice period or work visa sponsorship.
Ideal Candidate Profile
- Experienced in deploying and fine-tuning LLMs at scale in cloud environments (AWS, Azure, GCP).
- Strong knowledge of GPU architecture and distributed model training technologies such as DeepSpeed and vLLM.
- Proficient in DevOps for ML including use of Kubernetes, Docker, MLFlow, and LLM orchestration frameworks.