AI/ML Engineer – Model Optimization & Acceleration

***AI/ML Engineer – Model Optimization \& Acceleration (8–10 Years)*** * **Location:** Bengaluru, India * **Experience:** 8–10 Years ( If you have experience more than 8 years only apply then) * **Open Positions:** 3 We are looking for an experienced **AI/ML Engineer** to optimize and deploy machine learning models across heterogeneous platforms (CPU, GPU, and NPU). If you're passionate about building high\-performance, production\-ready AI systems and working on cutting\-edge technologies, we'd love to hear from you! **Key Responsibilities** * Optimize AI models including **LLMs, Diffusion Models, CNNs, Computer Vision, Multi\-modal, and Speech Models**. * Port models across frameworks (PyTorch → ONNX → Runtime). * Deploy and optimize models on **GPU/NPU hardware accelerators**. * Improve inference latency, throughput, and memory efficiency. * Implement **quantization**, model compression, and performance tuning. * Profile, benchmark, and debug AI system performance. **Required Skills** * Strong expertise in **PyTorch** and **ONNX** * Proficiency in **Python** and **C\+\+** * Experience with **CUDA, ROCm, or GPU acceleration** * Strong understanding of **Transformers, CNNs, Deep Learning** * Hands\-on experience in **Model Optimization, Quantization, Inference Optimization, and Performance Tuning** **Good to Have** * Edge AI / Embedded AI deployment * Generative AI or Multi\-modal AI * Distributed inference or streaming pipelines * TensorRT, OpenVINO (preferred) Pay: ₹2,500,000\.00 \- ₹3,000,000\.00 per year Experience: * AI/ML Engineer – Model Optimization \& Acceleration: 8 years (Preferred) Work Location: In person Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.