AI Implementation Strategist

Work Location: Bangalore Job Title: IT - AI/ML Engineer Experience: 8-10 Years Note :- Apply only if you are immediate joiner Job Description AI model optimization & acceleration. 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. Job Responsibilities / Day-to-Day Activities • Optimize diverse models: generative (LLMs, diffusion), vision (classification, detection, segmentation), multi-modal, and speech • Port models across frameworks (e.g., PyTorch → 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 PyTorch (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 Good to Have • Edge AI or embedded deployment • Generative or multi-modal AI systems • Distributed inference or streaming pipelines #Hiring #AIML #AIEngineer #MLEngineer #ArtificialIntelligence #MachineLearning #Python #DeepLearning #GenerativeAI #LLM #BangaloreJobs #HiringNow #MachineLearning #AI #PyTorch #ONNX #CUDA #GPU #NPU #Inference #EdgeAI #TechJobs #ROCm #GPUComputing