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
• Robust 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
📌 AI Implementation Strategist (Bengaluru)
🏢 Silicon Patterns
📍 Bengaluru
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