AL Model Engineering Expertise: Deep proficiency in AI model engineering, that includes :
Training and fine-tuning Vision Language Models (VLM), large language models (LLMs) and other Deep Learning (DL) architectures.
Model optimization, quantization, and deployment for latency and throughput.
Model evaluation and monitoring in production environments.
Creating Small Language Models using Distillation , Pruning etc.
Worked on accelerating AI training and inference, with GPU and NPU on Compute, Edge and Mobile platforms with SOCs from NVIDIA, Qualcomm etc.
AI Solution Development: Build and integrate AI capabilities (e.g. computer vision, NLP, inferencing , recommendation, summarisation) into production-grade Web/Mobile App software.
Scalability & Performance: Experience scaling AI systems for high-volume, real-time applications, leveraging Cloud-Native or Edge-AI technologies.
Data-Driven Development: Strong understanding of data pipelines and feature engineering for AI applications.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Software Development - OtherEmployement Type: Full time