Project Details
AI model optimization & acceleration
Job Description
Seeking an AI Engineer to optimize and deploy ML models across heterogeneous platforms (CPU, GPU, NPU).
Work on scalable, production-ready AI systems across domains like robotics, healthcare, and automotive.
Experience : 4-10 Years
Job Responsibilities / Day-to-Day Activities
Qualifications & Experiences:
Key Responsibilities
Optimize diverse models: generative (LLMs, diffusion), vision (classification, detection, segmentation), multi-modal, and speech Port models across frameworks (e.g., Py Torch → ONNX → runtimes) Deploy on hardware accelerators (GPU/NPU) and optimize performance Improve inference latency, throughput, and memory (batching, caching, parallelism, fusion)



Apply quantization and model compression (FP32 → lower precision) Profile and debug system and model performance Required Skills
Strong in Py Torch (or similar), ONNX (or equivalent) Proficient in Python and C++ Experience with GPU/hardware acceleration (CUDA/ROCm or similar) Solid understanding of deep learning models (transformers, CNNs) Knowledge of optimization, quantization, and performance tuning Positive to Have
Edge AI or embedded deployment Generative or multi-modal AI systems Distributed inference or streaming pipelines

📌 Ai model optimization (Bengaluru)
🏢 L&T Technology Services
📍 Bengaluru