IN-Manager _AI Architect __ GCC_ Advisory_ Bangalore

Design and manage ML pipelines including experiment, model, feature management, and model retraining.

Lead architecture for scalable model inferencing APIs and distributed training/serving of large language models (LLMs) with GPU expertise.

Implement model fine-tuning, optimization, and DevOps/LLMOps practices to improve latency, accuracy, and resource efficiency.

Minimum 3+ years of relevant experience in AI/ML architecture and engineering.

Mandatory skills: Gen AI, LLM, Huggingface, Python, PyTorch/TensorFlow/Keras, Langchain, Langgraph, Docker, Kubernetes.

Required Education: BE/B.Tech/MBA/MCA (Master of Business Administration preferred).

Work Experience Required: 3+ years explicitly mentioned. No visa sponsorship provided; no government clearance required.

Deep expertise in large language model deployment and distributed GPU training frameworks such as DeepSpeed and vLLM.

Experience with cloud AI platforms like AWS SageMaker, Azure AI, and Google Vertex AI, plus container orchestration and LLM orchestration frameworks (Flowise, Langflow).

Strong operational ownership of end-to-end ML pipeline design and MLOps/LLMOps in enterprise advisory context.