IN_Manager_AI Engineer_GCC_Advisory_Chennai
PwC India (company site, opens in a new tab)5–10 yrsChennaiOn-siteDirect career pageEst. 20–40 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and implement ML pipelines for experiment, model, feature management, and retraining using tools like MLflow, SageMaker, Vertex AI, and Azure AI.
- Develop and optimize large language model (LLM) serving architectures with expertise in GPU-based distributed training and inferencing using frameworks such as DeepSpeed and vLLM.
- Manage LLMOps and DevOps processes including container orchestration (Kubernetes, Docker) and orchestration frameworks like Flowise, Langflow, and Langgraph.
Minimum Requirements
- 5 to 10 years of relevant work experience.
- Mandatory skills: Generative AI, Large Language Models, Huggingface, Python, PyTorch/TensorFlow/Keras, Langchain, Langgraph, Docker, Kubernetes.
- Educational qualification: Bachelor of Technology (B.Tech) or MCA/MCA/M.Tech in a relevant field.
- No visa sponsorship or government clearance available; travel requirements not specified.
Ideal Candidate Profile
- Experienced in managing end-to-end LLM deployment and optimization in cloud environments (AWS, Azure, GCP) with strong DevOps and MLOps expertise.
- Proficient in building scalable ML pipelines and operationalizing models for enterprise-grade applications.
- Strong hands-on skills in distributed training and performance tuning of large language models using state-of-the-art frameworks and orchestration tools.